PASS 3: Temporal Dynamics
Case 7: Use of Artificial Intelligence in Engineering Practice
Timeline Overview
OWL-Time Temporal Structure 9 relations time: = w3.org/2006/time
Extracted Actions (10)
Volitional professional decisions with intentions and ethical contextDescription: Engineer A accepted the dual engagement from Client W to produce a comprehensive contaminant report and engineering design documents for groundwater infrastructure modifications, without securing alternative quality assurance support after Engineer B's retirement.
Temporal Marker: At project initiation, after Engineer B's retirement instant
Fluent Transitions:
- Dual Deliverable Obligation
- Reduced Quality Assurance Support State
Mental State: deliberate
Intended Outcome: Fulfill professional engagement and deliver required work products to Client W
Foreseen Unintended Effects:
- Reduced quality assurance coverage due to absence of Engineer B
Obligation Engagement:
- Undertake Assignments Only When Qualified
- Perform Services Within Competence
Guided By Principles:
- Professional Competency
- Public Safety
Required Capabilities:
Field classification (triples vs literals)
fulfillsObligation: Perform Services Within CompetenceguidedByPrinciple: Professional Competency; Public Safetyinitiates: Dual Deliverable Obligation; Reduced Quality Assurance Support StateraisesObligation: Undertake Assignments Only When Qualified
descriptioncontent: Engineer A accepted the dual engagement from Client W to produce a comprehensive contaminant report and engineering design documents for groundwater infrastructure modifications, without securing alternative quality assurance support after Engineer B's retirement.hasAgentcontent: Engineer AtemporalMarkercontent: At project initiation, after Engineer B's retirementeventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Fulfill professional engagement and deliver required work products to Client WforeseenUnintendedEffectscontent: Reduced quality assurance coverage due to absence of Engineer BtemporalExtentcontent: instanttemporalSequencecontent: 2withinCompetenceassessment: True
requiresCapability: Environmental engineering expertise; Technical report writing; Engineering design and review; Quality assurance oversight
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_Project_Acceptance",
"@type": "proeth:Action",
"proeth:description": "Engineer A accepted the dual engagement from Client W to produce a comprehensive contaminant report and engineering design documents for groundwater infrastructure modifications, without securing alternative quality assurance support after Engineer B\u0027s retirement.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Reduced quality assurance coverage due to absence of Engineer B"
],
"proeth:fulfillsObligation": [
"Perform Services Within Competence"
],
"proeth:guidedByPrinciple": [
"Professional Competency",
"Public Safety"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Dual Deliverable Obligation",
"Reduced Quality Assurance Support State"
],
"proeth:intendedOutcome": "Fulfill professional engagement and deliver required work products to Client W",
"proeth:raisesObligation": [
"Undertake Assignments Only When Qualified"
],
"proeth:requiresCapability": [
"Environmental engineering expertise",
"Technical report writing",
"Engineering design and review",
"Quality assurance oversight"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "At project initiation, after Engineer B\u0027s retirement",
"proeth:temporalSequence": 2,
"proeth:violatesObligation": [],
"proeth:withinCompetence": true,
"rdfs:label": "Project Acceptance"
}
Description: Engineer A decided to use new, open-source AI language processing software to generate an initial draft of the contaminant report rather than drafting it independently or seeking an alternative expert reviewer.
Temporal Marker: During report preparation phase interval
Fluent Transitions:
- AI-Assisted Report Drafting State
- Client Confidential Data in Public Domain State
Mental State: deliberate
Intended Outcome: Compensate for reduced writing confidence and lack of mentorship by using AI to produce a workable first draft efficiently
Foreseen Unintended Effects:
- Uncertainty about AI output accuracy and originality
- Potential confidentiality exposure from uploading client data to open-source platform
Obligation Engagement:
- Client Confidentiality
- Direction and Control Over Work Product
- Perform Services Within Competence
Guided By Principles:
- Technological Innovation in Engineering Practice
- Professional Competency
Required Capabilities:
Field classification (triples vs literals)
fulfillsObligation: Perform Services Within CompetenceguidedByPrinciple: Technological Innovation in Engineering Practice; Professional Competencyinitiates: AI-Assisted Report Drafting State; Client Confidential Data in Public Domain StateraisesObligation: Client Confidentiality; Direction and Control Over Work Product
descriptioncontent: Engineer A decided to use new, open-source AI language processing software to generate an initial draft of the contaminant report rather than drafting it independently or seeking an alternative expert reviewer.hasAgentcontent: Engineer AtemporalMarkercontent: During report preparation phaseeventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Compensate for reduced writing confidence and lack of mentorship by using AI to produce a workable first draft efficientlyforeseenUnintendedEffectscontent: Uncertainty about AI output accuracy and originality; Potential confidentiality exposure from uploading client data to open-source platformtemporalExtentcontent: intervaltemporalSequencecontent: 4withinCompetenceassessment: True
requiresCapability: Familiarity with AI tool capabilities and limitations; Judgment to evaluate AI-generated technical content; Environmental engineering domain expertise
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Report",
"@type": "proeth:Action",
"proeth:description": "Engineer A decided to use new, open-source AI language processing software to generate an initial draft of the contaminant report rather than drafting it independently or seeking an alternative expert reviewer.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Uncertainty about AI output accuracy and originality",
"Potential confidentiality exposure from uploading client data to open-source platform"
],
"proeth:fulfillsObligation": [
"Perform Services Within Competence"
],
"proeth:guidedByPrinciple": [
"Technological Innovation in Engineering Practice",
"Professional Competency"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"AI-Assisted Report Drafting State",
"Client Confidential Data in Public Domain State"
],
"proeth:intendedOutcome": "Compensate for reduced writing confidence and lack of mentorship by using AI to produce a workable first draft efficiently",
"proeth:raisesObligation": [
"Client Confidentiality",
"Direction and Control Over Work Product"
],
"proeth:requiresCapability": [
"Familiarity with AI tool capabilities and limitations",
"Judgment to evaluate AI-generated technical content",
"Environmental engineering domain expertise"
],
"proeth:temporalExtent": "interval",
"proeth:temporalMarker": "During report preparation phase",
"proeth:temporalSequence": 4,
"proeth:violatesObligation": [],
"proeth:withinCompetence": true,
"rdfs:label": "AI Tool Adoption for Report"
}
Description: Engineer A entered Client W's private project information into the open-source AI software interface to generate report content and design documents, effectively placing confidential client data into a public-domain platform without obtaining Client W's prior consent.
Temporal Marker: During both report and design document preparation phases instant
Fluent Transitions:
- Client Confidential Data in Public Domain State
Mental State: deliberate
Intended Outcome: Provide the AI software with sufficient project context to generate relevant and accurate draft content
Foreseen Unintended Effects:
- Potential exposure of confidential client information to the public domain
Obligation Engagement:
- Client Confidentiality
Guided By Principles:
- Respect for Client Privacy
- Avoid Deceptive Acts
Required Capabilities:
Field classification (triples vs literals)
violatesObligation: Client ConfidentialityguidedByPrinciple: Respect for Client Privacy; Avoid Deceptive Actsinitiates: Client Confidential Data in Public Domain State
descriptioncontent: Engineer A entered Client W's private project information into the open-source AI software interface to generate report content and design documents, effectively placing confidential client data into a public-domain platform without obtaining Client W's prior consent.hasAgentcontent: Engineer AtemporalMarkercontent: During both report and design document preparation phaseseventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Provide the AI software with sufficient project context to generate relevant and accurate draft contentforeseenUnintendedEffectscontent: Potential exposure of confidential client information to the public domaintemporalExtentcontent: instanttemporalSequencecontent: 5withinCompetenceassessment: True
requiresCapability: Understanding of data privacy implications of open-source AI platforms; Client confidentiality management
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_Client_Data_Upload_to_AI",
"@type": "proeth:Action",
"proeth:description": "Engineer A entered Client W\u0027s private project information into the open-source AI software interface to generate report content and design documents, effectively placing confidential client data into a public-domain platform without obtaining Client W\u0027s prior consent.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Potential exposure of confidential client information to the public domain"
],
"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Respect for Client Privacy",
"Avoid Deceptive Acts"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Client Confidential Data in Public Domain State"
],
"proeth:intendedOutcome": "Provide the AI software with sufficient project context to generate relevant and accurate draft content",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Understanding of data privacy implications of open-source AI platforms",
"Client confidentiality management"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "During both report and design document preparation phases",
"proeth:temporalSequence": 5,
"proeth:violatesObligation": [
"Client Confidentiality"
],
"proeth:withinCompetence": true,
"rdfs:label": "Client Data Upload to AI"
}
Description: Engineer A conducted a thorough review of the AI-generated report draft, cross-checking key facts against professional journal articles, verifying phrasing through search engine queries to check for copied language, and making minor wording adjustments to personalize the content.
Temporal Marker: After receiving the AI-generated report draft, before submission interval
Fluent Transitions:
- Report Under Engineer Direction and Control State
- Unverified AI Report Draft State
Mental State: deliberate
Intended Outcome: Ensure factual accuracy, originality, and professional quality of the report before submission to Client W
Foreseen Unintended Effects:
- Review may not catch all deficiencies given unfamiliarity with AI output characteristics
Obligation Engagement:
- Direction and Control Over Work Product
- Perform Services Within Competence
Guided By Principles:
- Professional Competency
- Public Safety
Required Capabilities:
Field classification (triples vs literals)
fulfillsObligation: Direction and Control Over Work Product; Perform Services Within CompetenceguidedByPrinciple: Professional Competency; Public Safetyinitiates: Report Under Engineer Direction and Control Stateterminates: Unverified AI Report Draft State
descriptioncontent: Engineer A conducted a thorough review of the AI-generated report draft, cross-checking key facts against professional journal articles, verifying phrasing through search engine queries to check for copied language, and making minor wording adjustments to personalize the content.hasAgentcontent: Engineer AtemporalMarkercontent: After receiving the AI-generated report draft, before submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Ensure factual accuracy, originality, and professional quality of the report before submission to Client WforeseenUnintendedEffectscontent: Review may not catch all deficiencies given unfamiliarity with AI output characteristicstemporalExtentcontent: intervaltemporalSequencecontent: 8withinCompetenceassessment: True
requiresCapability: Technical knowledge to fact-check environmental contaminant content; Critical evaluation of AI-generated text; Environmental engineering domain expertise
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_Thorough_Report_Review",
"@type": "proeth:Action",
"proeth:description": "Engineer A conducted a thorough review of the AI-generated report draft, cross-checking key facts against professional journal articles, verifying phrasing through search engine queries to check for copied language, and making minor wording adjustments to personalize the content.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Review may not catch all deficiencies given unfamiliarity with AI output characteristics"
],
"proeth:fulfillsObligation": [
"Direction and Control Over Work Product",
"Perform Services Within Competence"
],
"proeth:guidedByPrinciple": [
"Professional Competency",
"Public Safety"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Report Under Engineer Direction and Control State"
],
"proeth:intendedOutcome": "Ensure factual accuracy, originality, and professional quality of the report before submission to Client W",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Technical knowledge to fact-check environmental contaminant content",
"Critical evaluation of AI-generated text",
"Environmental engineering domain expertise"
],
"proeth:temporalExtent": "interval",
"proeth:temporalMarker": "After receiving the AI-generated report draft, before submission",
"proeth:temporalSequence": 8,
"proeth:terminates": [
"Unverified AI Report Draft State"
],
"proeth:violatesObligation": [],
"proeth:withinCompetence": true,
"rdfs:label": "Thorough Report Review"
}
Description: Engineer A chose not to disclose the use of AI language processing software or cite its contributions when submitting the draft report to Client W, and did not include citations to the AI-generated content or the large language models used.
Temporal Marker: At report submission instant
Fluent Transitions:
- Undisclosed AI Contribution to Report State
Mental State: deliberate
Intended Outcome: Submit the report as a professional work product without drawing attention to AI involvement, consistent with then-current absence of universal mandatory disclosure guidelines
Foreseen Unintended Effects:
- Potential client misunderstanding about authorship
- Failure to give credit to AI contributions as required by attribution norms
Obligation Engagement:
- Credit and Attribution for Engineering Work
- Avoid Deceptive Acts
Guided By Principles:
- Transparency and Attribution
- Professional Integrity
Required Capabilities:
Field classification (triples vs literals)
violatesObligation: Credit and Attribution for Engineering Work; Avoid Deceptive ActsguidedByPrinciple: Transparency and Attribution; Professional Integrityinitiates: Undisclosed AI Contribution to Report State
descriptioncontent: Engineer A chose not to disclose the use of AI language processing software or cite its contributions when submitting the draft report to Client W, and did not include citations to the AI-generated content or the large language models used.hasAgentcontent: Engineer AtemporalMarkercontent: At report submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Submit the report as a professional work product without drawing attention to AI involvement, consistent with then-current absence of universal mandatory disclosure guidelinesforeseenUnintendedEffectscontent: Potential client misunderstanding about authorship; Failure to give credit to AI contributions as required by attribution normstemporalExtentcontent: instanttemporalSequencecontent: 9withinCompetenceassessment: True
requiresCapability: Awareness of professional attribution norms; Judgment about disclosure obligations for AI-assisted work
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_AI_Disclosure_Omission_for_Report",
"@type": "proeth:Action",
"proeth:description": "Engineer A chose not to disclose the use of AI language processing software or cite its contributions when submitting the draft report to Client W, and did not include citations to the AI-generated content or the large language models used.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Potential client misunderstanding about authorship",
"Failure to give credit to AI contributions as required by attribution norms"
],
"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Transparency and Attribution",
"Professional Integrity"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Undisclosed AI Contribution to Report State"
],
"proeth:intendedOutcome": "Submit the report as a professional work product without drawing attention to AI involvement, consistent with then-current absence of universal mandatory disclosure guidelines",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Awareness of professional attribution norms",
"Judgment about disclosure obligations for AI-assisted work"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "At report submission",
"proeth:temporalSequence": 9,
"proeth:violatesObligation": [
"Credit and Attribution for Engineering Work",
"Avoid Deceptive Acts"
],
"proeth:withinCompetence": true,
"rdfs:label": "AI Disclosure Omission for Report"
}
Description: Engineer A applied their professional seal to the draft report consistent with state law and submitted it to Client W with language clearly identifying it as a draft.
Temporal Marker: At report submission instant
Fluent Transitions:
- Sealed Draft Report Submitted State
- Dual Deliverable Obligation for Report
Mental State: deliberate
Intended Outcome: Fulfill the contractual deliverable and assert professional responsibility over the report content in accordance with state licensure requirements
Foreseen Unintended Effects:
- Sealing a document with undisclosed AI contributions and without full citation of technical authority sources
Obligation Engagement:
- Direction and Control Over Work Product
- Perform Services Within Competence
- Credit and Attribution for Engineering Work
Guided By Principles:
- Professional Competency
- Responsible Charge
Required Capabilities:
Field classification (triples vs literals)
fulfillsObligation: Direction and Control Over Work Product; Perform Services Within CompetenceviolatesObligation: Credit and Attribution for Engineering WorkguidedByPrinciple: Professional Competency; Responsible Chargeinitiates: Sealed Draft Report Submitted Stateterminates: Dual Deliverable Obligation for Report
descriptioncontent: Engineer A applied their professional seal to the draft report consistent with state law and submitted it to Client W with language clearly identifying it as a draft.hasAgentcontent: Engineer AtemporalMarkercontent: At report submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Fulfill the contractual deliverable and assert professional responsibility over the report content in accordance with state licensure requirementsforeseenUnintendedEffectscontent: Sealing a document with undisclosed AI contributions and without full citation of technical authority sourcestemporalExtentcontent: instanttemporalSequencecontent: 10withinCompetenceassessment: True
requiresCapability: Environmental engineering expertise sufficient to take responsible charge of the report; Understanding of sealing obligations under state law
RDF JSON-LD
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"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_Draft_Report_Sealing_and_Submission",
"@type": "proeth:Action",
"proeth:description": "Engineer A applied their professional seal to the draft report consistent with state law and submitted it to Client W with language clearly identifying it as a draft.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Sealing a document with undisclosed AI contributions and without full citation of technical authority sources"
],
"proeth:fulfillsObligation": [
"Direction and Control Over Work Product",
"Perform Services Within Competence"
],
"proeth:guidedByPrinciple": [
"Professional Competency",
"Responsible Charge"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Sealed Draft Report Submitted State"
],
"proeth:intendedOutcome": "Fulfill the contractual deliverable and assert professional responsibility over the report content in accordance with state licensure requirements",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Environmental engineering expertise sufficient to take responsible charge of the report",
"Understanding of sealing obligations under state law"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "At report submission",
"proeth:temporalSequence": 10,
"proeth:terminates": [
"Dual Deliverable Obligation for Report"
],
"proeth:violatesObligation": [
"Credit and Attribution for Engineering Work"
],
"proeth:withinCompetence": true,
"rdfs:label": "Draft Report Sealing and Submission"
}
Description: Engineer A decided to use AI-assisted drafting tools, which were new to the market and with which Engineer A had no prior experience, to generate preliminary engineering design documents including basic layouts and technical specifications for the groundwater infrastructure modifications.
Temporal Marker: During design document preparation phase interval
Fluent Transitions:
- AI-Assisted Design Document Drafting State
- Client Confidential Data in Public Domain State
Mental State: deliberate
Intended Outcome: Efficiently generate preliminary design documents to meet project deliverable requirements without the benefit of Engineer B's oversight
Foreseen Unintended Effects:
- Risk of errors in AI-generated designs given Engineer A's unfamiliarity with the tool and absence of comprehensive review process
Obligation Engagement:
- Direction and Control Over Work Product
- Responsible Charge
- Hold Paramount the Safety, Health, and Welfare of the Public
Guided By Principles:
- Technological Innovation in Engineering Practice
- Professional Competency
Required Capabilities:
Field classification (triples vs literals)
guidedByPrinciple: Technological Innovation in Engineering Practice; Professional Competencyinitiates: AI-Assisted Design Document Drafting State; Client Confidential Data in Public Domain StateraisesObligation: Direction and Control Over Work Product; Responsible Charge; Hold Paramount the Safety, Health, and Welfare of the Public
descriptioncontent: Engineer A decided to use AI-assisted drafting tools, which were new to the market and with which Engineer A had no prior experience, to generate preliminary engineering design documents including basic layouts and technical specifications for the groundwater infrastructure modifications.hasAgentcontent: Engineer AtemporalMarkercontent: During design document preparation phaseeventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Efficiently generate preliminary design documents to meet project deliverable requirements without the benefit of Engineer B's oversightforeseenUnintendedEffectscontent: Risk of errors in AI-generated designs given Engineer A's unfamiliarity with the tool and absence of comprehensive review processtemporalExtentcontent: intervaltemporalSequencecontent: 12withinCompetenceassessment: True
requiresCapability: Proficiency with AI drafting tool capabilities and limitations; Engineering design expertise for groundwater infrastructure; Regulatory knowledge for local safety requirements
RDF JSON-LD
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"proeth": "http://proethica.org/ontology/intermediate#",
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"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Design",
"@type": "proeth:Action",
"proeth:description": "Engineer A decided to use AI-assisted drafting tools, which were new to the market and with which Engineer A had no prior experience, to generate preliminary engineering design documents including basic layouts and technical specifications for the groundwater infrastructure modifications.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Risk of errors in AI-generated designs given Engineer A\u0027s unfamiliarity with the tool and absence of comprehensive review process"
],
"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Technological Innovation in Engineering Practice",
"Professional Competency"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"AI-Assisted Design Document Drafting State",
"Client Confidential Data in Public Domain State"
],
"proeth:intendedOutcome": "Efficiently generate preliminary design documents to meet project deliverable requirements without the benefit of Engineer B\u0027s oversight",
"proeth:raisesObligation": [
"Direction and Control Over Work Product",
"Responsible Charge",
"Hold Paramount the Safety, Health, and Welfare of the Public"
],
"proeth:requiresCapability": [
"Proficiency with AI drafting tool capabilities and limitations",
"Engineering design expertise for groundwater infrastructure",
"Regulatory knowledge for local safety requirements"
],
"proeth:temporalExtent": "interval",
"proeth:temporalMarker": "During design document preparation phase",
"proeth:temporalSequence": 12,
"proeth:violatesObligation": [],
"proeth:withinCompetence": true,
"rdfs:label": "AI Tool Adoption for Design"
}
Description: Engineer A performed only a cursory review of the AI-generated engineering design documents, adjusting certain elements to align with site-specific conditions but not conducting a comprehensive verification of dimensions, safety features, or regulatory compliance.
Temporal Marker: After receiving AI-generated design documents, before submission interval
Fluent Transitions:
- Public Safety Risk State
- Regulatory Noncompliance Risk State
- Insufficient Oversight of Design Documents State
Mental State: deliberate
Intended Outcome: Adapt the AI-generated plans to the site context and prepare them for submission without expending the full review effort applied to the report
Foreseen Unintended Effects:
- Undetected errors in dimensions and omission of safety features required by local regulations
Obligation Engagement:
- Direction and Control Over Work Product
- Responsible Charge
- Hold Paramount the Safety, Health, and Welfare of the Public
- Undertake Assignments Only When Qualified
Guided By Principles:
- Professional Competency
- Public Safety
- Responsible Charge
Required Capabilities:
Field classification (triples vs literals)
violatesObligation: Direction and Control Over Work Product; Responsible Charge; Hold Paramount the Safety, Health, and Welfare of the Public; Undertake Assignments Only When QualifiedguidedByPrinciple: Professional Competency; Public Safety; Responsible Chargeinitiates: Public Safety Risk State; Regulatory Noncompliance Risk State; Insufficient Oversight of Design Documents State
descriptioncontent: Engineer A performed only a cursory review of the AI-generated engineering design documents, adjusting certain elements to align with site-specific conditions but not conducting a comprehensive verification of dimensions, safety features, or regulatory compliance.hasAgentcontent: Engineer AtemporalMarkercontent: After receiving AI-generated design documents, before submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Adapt the AI-generated plans to the site context and prepare them for submission without expending the full review effort applied to the reportforeseenUnintendedEffectscontent: Undetected errors in dimensions and omission of safety features required by local regulationstemporalExtentcontent: intervaltemporalSequencecontent: 14withinCompetenceassessment: True
requiresCapability: Comprehensive engineering design review; Regulatory compliance verification; Dimensional accuracy checking; Safety feature validation for groundwater infrastructure
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Action_Cursory_Design_Document_Review",
"@type": "proeth:Action",
"proeth:description": "Engineer A performed only a cursory review of the AI-generated engineering design documents, adjusting certain elements to align with site-specific conditions but not conducting a comprehensive verification of dimensions, safety features, or regulatory compliance.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Undetected errors in dimensions and omission of safety features required by local regulations"
],
"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Professional Competency",
"Public Safety",
"Responsible Charge"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Public Safety Risk State",
"Regulatory Noncompliance Risk State",
"Insufficient Oversight of Design Documents State"
],
"proeth:intendedOutcome": "Adapt the AI-generated plans to the site context and prepare them for submission without expending the full review effort applied to the report",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Comprehensive engineering design review",
"Regulatory compliance verification",
"Dimensional accuracy checking",
"Safety feature validation for groundwater infrastructure"
],
"proeth:temporalExtent": "interval",
"proeth:temporalMarker": "After receiving AI-generated design documents, before submission",
"proeth:temporalSequence": 14,
"proeth:violatesObligation": [
"Direction and Control Over Work Product",
"Responsible Charge",
"Hold Paramount the Safety, Health, and Welfare of the Public",
"Undertake Assignments Only When Qualified"
],
"proeth:withinCompetence": true,
"rdfs:label": "Cursory Design Document Review"
}
Description: Engineer A chose not to disclose the use of AI-assisted drafting tools when submitting the engineering design documents to Client W, providing no indication that the plans and specifications were substantially generated by AI software.
Temporal Marker: At design document submission instant
Fluent Transitions:
- Undisclosed AI Contribution to Design Documents State
Mental State: deliberate
Intended Outcome: Submit the design documents as a professional work product without separately identifying AI as a contributing tool
Foreseen Unintended Effects:
- Client W unaware of AI involvement and therefore unable to apply appropriate scrutiny or make informed decisions about the reliability of the designs
Obligation Engagement:
- Credit and Attribution for Engineering Work
- Avoid Deceptive Acts
Guided By Principles:
- Transparency and Attribution
- Professional Integrity
Required Capabilities:
Field classification (triples vs literals)
violatesObligation: Credit and Attribution for Engineering Work; Avoid Deceptive ActsguidedByPrinciple: Transparency and Attribution; Professional Integrityinitiates: Undisclosed AI Contribution to Design Documents State
descriptioncontent: Engineer A chose not to disclose the use of AI-assisted drafting tools when submitting the engineering design documents to Client W, providing no indication that the plans and specifications were substantially generated by AI software.hasAgentcontent: Engineer AtemporalMarkercontent: At design document submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Submit the design documents as a professional work product without separately identifying AI as a contributing toolforeseenUnintendedEffectscontent: Client W unaware of AI involvement and therefore unable to apply appropriate scrutiny or make informed decisions about the reliability of the designstemporalExtentcontent: instanttemporalSequencecontent: 15withinCompetenceassessment: True
requiresCapability: Awareness of professional attribution norms for AI-assisted design work; Judgment about transparency obligations to clients
RDF JSON-LD
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},
"@id": "http://proethica.org/cases/7#Action_AI_Disclosure_Omission_for_Design",
"@type": "proeth:Action",
"proeth:description": "Engineer A chose not to disclose the use of AI-assisted drafting tools when submitting the engineering design documents to Client W, providing no indication that the plans and specifications were substantially generated by AI software.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Client W unaware of AI involvement and therefore unable to apply appropriate scrutiny or make informed decisions about the reliability of the designs"
],
"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Transparency and Attribution",
"Professional Integrity"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Undisclosed AI Contribution to Design Documents State"
],
"proeth:intendedOutcome": "Submit the design documents as a professional work product without separately identifying AI as a contributing tool",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Awareness of professional attribution norms for AI-assisted design work",
"Judgment about transparency obligations to clients"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "At design document submission",
"proeth:temporalSequence": 15,
"proeth:violatesObligation": [
"Credit and Attribution for Engineering Work",
"Avoid Deceptive Acts"
],
"proeth:withinCompetence": true,
"rdfs:label": "AI Disclosure Omission for Design"
}
Description: Engineer A submitted the AI-generated engineering design documents to Client W without comprehensive review, without disclosure of AI use, and without verifying that all elements satisfied applicable professional and regulatory standards, including local safety feature requirements.
Temporal Marker: At design document submission instant
Fluent Transitions:
- Deficient Design Documents Submitted State
- Public Safety Risk State
- Regulatory Noncompliance Risk State
- Dual Deliverable Obligation for Design Documents
Mental State: deliberate
Intended Outcome: Fulfill the contractual deliverable for engineering design documents and advance the project for Client W's review
Foreseen Unintended Effects:
- Risk that undetected errors could cause regulatory noncompliance or safety hazards if the documents were acted upon
Obligation Engagement:
- Hold Paramount the Safety, Health, and Welfare of the Public
- Direction and Control Over Work Product
- Responsible Charge
- Undertake Assignments Only When Qualified
Guided By Principles:
- Public Safety
- Responsible Charge
- Professional Competency
Required Capabilities:
Field classification (triples vs literals)
violatesObligation: Hold Paramount the Safety, Health, and Welfare of the Public; Direction and Control Over Work Product; Responsible Charge; Undertake Assignments Only When QualifiedguidedByPrinciple: Public Safety; Responsible Charge; Professional Competencyinitiates: Deficient Design Documents Submitted State; Public Safety Risk State; Regulatory Noncompliance Risk Stateterminates: Dual Deliverable Obligation for Design Documents
descriptioncontent: Engineer A submitted the AI-generated engineering design documents to Client W without comprehensive review, without disclosure of AI use, and without verifying that all elements satisfied applicable professional and regulatory standards, including local safety feature requirements.hasAgentcontent: Engineer AtemporalMarkercontent: At design document submissioneventRoleContextcontent: Licensed Environmental EngineerhasMentalStatecontent: deliberateintendedOutcomecontent: Fulfill the contractual deliverable for engineering design documents and advance the project for Client W's reviewforeseenUnintendedEffectscontent: Risk that undetected errors could cause regulatory noncompliance or safety hazards if the documents were acted upontemporalExtentcontent: instanttemporalSequencecontent: 16withinCompetenceassessment: True
requiresCapability: Comprehensive design review and verification; Regulatory compliance assurance; Responsible charge over engineering plans and specifications
RDF JSON-LD
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"@id": "http://proethica.org/cases/7#Action_Design_Document_Submission",
"@type": "proeth:Action",
"proeth:description": "Engineer A submitted the AI-generated engineering design documents to Client W without comprehensive review, without disclosure of AI use, and without verifying that all elements satisfied applicable professional and regulatory standards, including local safety feature requirements.",
"proeth:eventRoleContext": "Licensed Environmental Engineer",
"proeth:foreseenUnintendedEffects": [
"Risk that undetected errors could cause regulatory noncompliance or safety hazards if the documents were acted upon"
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"proeth:fulfillsObligation": [],
"proeth:guidedByPrinciple": [
"Public Safety",
"Responsible Charge",
"Professional Competency"
],
"proeth:hasAgent": "Engineer A",
"proeth:hasMentalState": "deliberate",
"proeth:initiates": [
"Deficient Design Documents Submitted State",
"Public Safety Risk State",
"Regulatory Noncompliance Risk State"
],
"proeth:intendedOutcome": "Fulfill the contractual deliverable for engineering design documents and advance the project for Client W\u0027s review",
"proeth:raisesObligation": [],
"proeth:requiresCapability": [
"Comprehensive design review and verification",
"Regulatory compliance assurance",
"Responsible charge over engineering plans and specifications"
],
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "At design document submission",
"proeth:temporalSequence": 16,
"proeth:terminates": [
"Dual Deliverable Obligation for Design Documents"
],
"proeth:violatesObligation": [
"Hold Paramount the Safety, Health, and Welfare of the Public",
"Direction and Control Over Work Product",
"Responsible Charge",
"Undertake Assignments Only When Qualified"
],
"proeth:withinCompetence": true,
"rdfs:label": "Design Document Submission"
}
Extracted Events (8)
Occurrences that trigger ethical considerations and state changesDescription: Engineer B, Engineer A's mentor and supervisor, retired before project deliverables were due, removing the primary quality assurance resource from the project.
Temporal Marker: Before project deliverables were due, over a year into site observation instant
Fluent Transitions:
- Reduced QA Support
- Unsupervised Practice State
- Active Supervision State
- QA Resource Available State
Causes State Change: Engineer A lost access to supervisory oversight and quality assurance support, leaving the project without a senior review resource.
Field classification (triples vs literals)
initiates: Reduced QA Support; Unsupervised Practice Stateterminates: Active Supervision State; QA Resource Available State
descriptioncontent: Engineer B, Engineer A's mentor and supervisor, retired before project deliverables were due, removing the primary quality assurance resource from the project.temporalMarkercontent: Before project deliverables were due, over a year into site observationeventTypecontent: exogenouscausesStateChangecontent: Engineer A lost access to supervisory oversight and quality assurance support, leaving the project without a senior review resource.temporalExtentcontent: instanttemporalSequencecontent: 1severityassessment: high
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_Supervisor_Retirement",
"@type": "proeth:Event",
"proeth:causesStateChange": "Engineer A lost access to supervisory oversight and quality assurance support, leaving the project without a senior review resource.",
"proeth:description": "Engineer B, Engineer A\u0027s mentor and supervisor, retired before project deliverables were due, removing the primary quality assurance resource from the project.",
"proeth:eventType": "exogenous",
"proeth:initiates": [
"Reduced QA Support",
"Unsupervised Practice State"
],
"proeth:severity": "high",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "Before project deliverables were due, over a year into site observation",
"proeth:temporalSequence": 1,
"proeth:terminates": [
"Active Supervision State",
"QA Resource Available State"
],
"rdfs:label": "Supervisor Retirement"
}
Description: Engineer A faced concurrent deadlines for both the comprehensive contaminant report and the groundwater infrastructure design documents, creating compounded workload pressure.
Temporal Marker: Concurrent with project execution phase interval
Fluent Transitions:
- Elevated Workload State
- Resource Deficit State
Causes State Change: Engineer A operated under elevated workload conditions with two simultaneous major deliverables and no supervisory backup.
Caused By Action: Action_Project_Acceptance
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_Project_Acceptanceinitiates: Elevated Workload State; Resource Deficit State
descriptioncontent: Engineer A faced concurrent deadlines for both the comprehensive contaminant report and the groundwater infrastructure design documents, creating compounded workload pressure.temporalMarkercontent: Concurrent with project execution phaseeventTypecontent: automatic_triggercausesStateChangecontent: Engineer A operated under elevated workload conditions with two simultaneous major deliverables and no supervisory backup.temporalExtentcontent: intervaltemporalSequencecontent: 3severityassessment: medium
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_Dual_Deliverable_Pressure",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_Project_Acceptance",
"proeth:causesStateChange": "Engineer A operated under elevated workload conditions with two simultaneous major deliverables and no supervisory backup.",
"proeth:description": "Engineer A faced concurrent deadlines for both the comprehensive contaminant report and the groundwater infrastructure design documents, creating compounded workload pressure.",
"proeth:eventType": "automatic_trigger",
"proeth:initiates": [
"Elevated Workload State",
"Resource Deficit State"
],
"proeth:severity": "medium",
"proeth:temporalExtent": "interval",
"proeth:temporalMarker": "Concurrent with project execution phase",
"proeth:temporalSequence": 3,
"rdfs:label": "Dual Deliverable Pressure"
}
Description: When Engineer A uploaded client monitoring data and site information to the open-source AI software, that proprietary client data was transmitted to and processed by a third-party system outside Engineer A's control.
Temporal Marker: During AI-assisted drafting phase, before submission instant
Fluent Transitions:
- Confidentiality Risk State
- Third-Party Data Exposure State
- Client Data Confidentiality State
Causes State Change: Client W's confidential site data entered a third-party AI system, creating a potential confidentiality breach outside Engineer A's control.
Caused By Action: Action_Client_Data_Upload_to_AI
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_Client_Data_Upload_to_AIinitiates: Confidentiality Risk State; Third-Party Data Exposure Stateterminates: Client Data Confidentiality State
descriptioncontent: When Engineer A uploaded client monitoring data and site information to the open-source AI software, that proprietary client data was transmitted to and processed by a third-party system outside Engineer A's control.temporalMarkercontent: During AI-assisted drafting phase, before submissioneventTypecontent: outcomecausesStateChangecontent: Client W's confidential site data entered a third-party AI system, creating a potential confidentiality breach outside Engineer A's control.temporalExtentcontent: instanttemporalSequencecontent: 6severityassessment: high
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
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"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_Client_Data_Exposure",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_Client_Data_Upload_to_AI",
"proeth:causesStateChange": "Client W\u0027s confidential site data entered a third-party AI system, creating a potential confidentiality breach outside Engineer A\u0027s control.",
"proeth:description": "When Engineer A uploaded client monitoring data and site information to the open-source AI software, that proprietary client data was transmitted to and processed by a third-party system outside Engineer A\u0027s control.",
"proeth:eventType": "outcome",
"proeth:initiates": [
"Confidentiality Risk State",
"Third-Party Data Exposure State"
],
"proeth:severity": "high",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "During AI-assisted drafting phase, before submission",
"proeth:temporalSequence": 6,
"proeth:terminates": [
"Client Data Confidentiality State"
],
"rdfs:label": "Client Data Exposure"
}
Description: The open-source AI software produced a draft of the comprehensive contaminant report based on the data and inputs provided by Engineer A.
Temporal Marker: During drafting phase, before thorough review instant
Fluent Transitions:
- AI-Drafted Report Exists
- Unverified Content State
Causes State Change: A machine-generated draft report existed and was available for Engineer A's review.
Caused By Action: Action_AI_Tool_Adoption_for_Report
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Reportinitiates: AI-Drafted Report Exists; Unverified Content State
descriptioncontent: The open-source AI software produced a draft of the comprehensive contaminant report based on the data and inputs provided by Engineer A.temporalMarkercontent: During drafting phase, before thorough revieweventTypecontent: automatic_triggercausesStateChangecontent: A machine-generated draft report existed and was available for Engineer A's review.temporalExtentcontent: instanttemporalSequencecontent: 7severityassessment: low
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_AI_Report_Generation",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Report",
"proeth:causesStateChange": "A machine-generated draft report existed and was available for Engineer A\u0027s review.",
"proeth:description": "The open-source AI software produced a draft of the comprehensive contaminant report based on the data and inputs provided by Engineer A.",
"proeth:eventType": "automatic_trigger",
"proeth:initiates": [
"AI-Drafted Report Exists",
"Unverified Content State"
],
"proeth:severity": "low",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "During drafting phase, before thorough review",
"proeth:temporalSequence": 7,
"rdfs:label": "AI Report Generation"
}
Description: The submitted report exhibited a stylistic inconsistency noted by Client W, who observed that the document read as if written by two different authors, likely reflecting the blending of AI-generated and human-reviewed content.
Temporal Marker: Upon Client W's review of submitted report instant
Fluent Transitions:
- Client Concern State
- Authorship Attribution Question State
Causes State Change: Client W identified a quality concern in the report, signaling that the document's authorship was inconsistent even if factually adequate.
Caused By Action: Action_Thorough_Report_Review
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_Thorough_Report_Reviewinitiates: Client Concern State; Authorship Attribution Question State
descriptioncontent: The submitted report exhibited a stylistic inconsistency noted by Client W, who observed that the document read as if written by two different authors, likely reflecting the blending of AI-generated and human-reviewed content.temporalMarkercontent: Upon Client W's review of submitted reporteventTypecontent: outcomecausesStateChangecontent: Client W identified a quality concern in the report, signaling that the document's authorship was inconsistent even if factually adequate.temporalExtentcontent: instanttemporalSequencecontent: 11severityassessment: low
RDF JSON-LD
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"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
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"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_Report_Stylistic_Inconsistency",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_Thorough_Report_Review",
"proeth:causesStateChange": "Client W identified a quality concern in the report, signaling that the document\u0027s authorship was inconsistent even if factually adequate.",
"proeth:description": "The submitted report exhibited a stylistic inconsistency noted by Client W, who observed that the document read as if written by two different authors, likely reflecting the blending of AI-generated and human-reviewed content.",
"proeth:eventType": "outcome",
"proeth:initiates": [
"Client Concern State",
"Authorship Attribution Question State"
],
"proeth:severity": "low",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "Upon Client W\u0027s review of submitted report",
"proeth:temporalSequence": 11,
"rdfs:label": "Report Stylistic Inconsistency"
}
Description: The open-source AI software produced draft groundwater infrastructure design documents, including dimensions and safety feature specifications, based on inputs provided by Engineer A.
Temporal Marker: During drafting phase, before cursory review instant
Fluent Transitions:
- AI-Drafted Design Exists
- Unverified Design Content State
Causes State Change: A machine-generated draft of the design documents existed and was available for Engineer A's review, containing unverified technical specifications.
Caused By Action: Action_AI_Tool_Adoption_for_Design
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Designinitiates: AI-Drafted Design Exists; Unverified Design Content State
descriptioncontent: The open-source AI software produced draft groundwater infrastructure design documents, including dimensions and safety feature specifications, based on inputs provided by Engineer A.temporalMarkercontent: During drafting phase, before cursory revieweventTypecontent: automatic_triggercausesStateChangecontent: A machine-generated draft of the design documents existed and was available for Engineer A's review, containing unverified technical specifications.temporalExtentcontent: instanttemporalSequencecontent: 13severityassessment: high
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
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"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_AI_Design_Generation",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_AI_Tool_Adoption_for_Design",
"proeth:causesStateChange": "A machine-generated draft of the design documents existed and was available for Engineer A\u0027s review, containing unverified technical specifications.",
"proeth:description": "The open-source AI software produced draft groundwater infrastructure design documents, including dimensions and safety feature specifications, based on inputs provided by Engineer A.",
"proeth:eventType": "automatic_trigger",
"proeth:initiates": [
"AI-Drafted Design Exists",
"Unverified Design Content State"
],
"proeth:severity": "high",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "During drafting phase, before cursory review",
"proeth:temporalSequence": 13,
"rdfs:label": "AI Design Generation"
}
Description: Client W's review of the submitted design documents revealed misaligned dimensions and omitted safety features required by local regulations, constituting a failure of the design deliverable to meet regulatory and professional standards.
Temporal Marker: Upon Client W's review of submitted design documents instant
Fluent Transitions:
- Public Safety Risk
- Regulatory Non-Compliance State
- Design Revision Required State
- Client Confidence Impaired State
- Design Adequacy State
- Regulatory Compliance State
Causes State Change: The design documents were identified as non-compliant and technically deficient, creating a public safety risk and triggering a revision requirement.
Caused By Action: Action_Cursory_Design_Document_Review
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_Cursory_Design_Document_Reviewinitiates: Public Safety Risk; Regulatory Non-Compliance State; Design Revision Required State; Client Confidence Impaired Stateterminates: Design Adequacy State; Regulatory Compliance State
descriptioncontent: Client W's review of the submitted design documents revealed misaligned dimensions and omitted safety features required by local regulations, constituting a failure of the design deliverable to meet regulatory and professional standards.temporalMarkercontent: Upon Client W's review of submitted design documentseventTypecontent: outcomecausesStateChangecontent: The design documents were identified as non-compliant and technically deficient, creating a public safety risk and triggering a revision requirement.temporalExtentcontent: instanttemporalSequencecontent: 17severityassessment: critical
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"@id": "http://proethica.org/cases/7#Event_Design_Defect_Discovery",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_Cursory_Design_Document_Review",
"proeth:causesStateChange": "The design documents were identified as non-compliant and technically deficient, creating a public safety risk and triggering a revision requirement.",
"proeth:description": "Client W\u0027s review of the submitted design documents revealed misaligned dimensions and omitted safety features required by local regulations, constituting a failure of the design deliverable to meet regulatory and professional standards.",
"proeth:eventType": "outcome",
"proeth:initiates": [
"Public Safety Risk",
"Regulatory Non-Compliance State",
"Design Revision Required State",
"Client Confidence Impaired State"
],
"proeth:severity": "critical",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "Upon Client W\u0027s review of submitted design documents",
"proeth:temporalSequence": 17,
"proeth:terminates": [
"Design Adequacy State",
"Regulatory Compliance State"
],
"rdfs:label": "Design Defect Discovery"
}
Description: Client W raised concerns about the defective design documents and formally instructed Engineer A to revise the plans to correct the identified deficiencies.
Temporal Marker: After Client W's review of design documents instant
Fluent Transitions:
- Design Revision Required State
- Project Remediation Phase State
- Design Submission Complete State
Causes State Change: Engineer A became obligated to revise the design documents, and the project moved into a remediation phase rather than proceeding to implementation.
Caused By Action: Action_Design_Document_Submission
Field classification (triples vs literals)
causedByAction: http://proethica.org/cases/7#Action_Design_Document_Submissioninitiates: Design Revision Required State; Project Remediation Phase Stateterminates: Design Submission Complete State
descriptioncontent: Client W raised concerns about the defective design documents and formally instructed Engineer A to revise the plans to correct the identified deficiencies.temporalMarkercontent: After Client W's review of design documentseventTypecontent: outcomecausesStateChangecontent: Engineer A became obligated to revise the design documents, and the project moved into a remediation phase rather than proceeding to implementation.temporalExtentcontent: instanttemporalSequencecontent: 18severityassessment: high
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
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"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
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"time": "http://www.w3.org/2006/time#"
},
"@id": "http://proethica.org/cases/7#Event_Revision_Instruction_Issued",
"@type": "proeth:Event",
"proeth:causedByAction": "http://proethica.org/cases/7#Action_Design_Document_Submission",
"proeth:causesStateChange": "Engineer A became obligated to revise the design documents, and the project moved into a remediation phase rather than proceeding to implementation.",
"proeth:description": "Client W raised concerns about the defective design documents and formally instructed Engineer A to revise the plans to correct the identified deficiencies.",
"proeth:eventType": "outcome",
"proeth:initiates": [
"Design Revision Required State",
"Project Remediation Phase State"
],
"proeth:severity": "high",
"proeth:temporalExtent": "instant",
"proeth:temporalMarker": "After Client W\u0027s review of design documents",
"proeth:temporalSequence": 18,
"proeth:terminates": [
"Design Submission Complete State"
],
"rdfs:label": "Revision Instruction Issued"
}
Causal Chains (10)
NESS test analysis: Necessary Element of Sufficient SetCausal Language: The Client commented that the report read as if written by two different authors but was otherwise satisfactory.
Necessary Factors (NESS):
- AI-generated polished introduction section
- Engineer A's own writing style in the data analysis section
- Juxtaposition of the two within one report
Sufficient Factors:
- Combination of AI-generated polished prose alongside human-drafted content produced a noticeable stylistic mismatch
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
AI Report Generation
AI produces a highly polished introduction section -
Thorough Report Review
Engineer A reviews and makes only minor wording adjustments -
Draft Report Sealing and Submission
Report submitted with mixed authorial voices -
Report Stylistic Inconsistency
Client W observes the report reads as if written by two authors
Field classification (triples vs literals)
cause: AI Report Generationeffect: Report Stylistic InconsistencyresponsibleAgent: Engineer A
causalLanguagecontent: The Client commented that the report read as if written by two different authors but was otherwise satisfactory.necessaryFactorscontent: AI-generated polished introduction section; Engineer A's own writing style in the data analysis section; Juxtaposition of the two within one reportsufficientFactorscontent: Combination of AI-generated polished prose alongside human-drafted content produced a noticeable stylistic mismatchcounterfactualcontent: Had the entire report been written in a uniform voice (or fully harmonized by Engineer A), the inconsistency would not have been observedcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'AI Report Generation', 'proeth:description': 'AI produces a highly polished introduction section'}; {'proeth:step': 2, 'proeth:element': 'Thorough Report Review', 'proeth:description': 'Engineer A reviews and makes only minor wording adjustments'}; {'proeth:step': 3, 'proeth:element': 'Draft Report Sealing and Submission', 'proeth:description': 'Report submitted with mixed authorial voices'}; {'proeth:step': 4, 'proeth:element': 'Report Stylistic Inconsistency', 'proeth:description': 'Client W observes the report reads as if written by two authors'}responsibilityTypeassessment: directwithinAgentControlassessment: True
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"proeth:description": "AI produces a highly polished introduction section",
"proeth:element": "AI Report Generation",
"proeth:step": 1
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"proeth:description": "Engineer A reviews and makes only minor wording adjustments",
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"proeth:element": "Draft Report Sealing and Submission",
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"proeth:description": "Client W observes the report reads as if written by two authors",
"proeth:element": "Report Stylistic Inconsistency",
"proeth:step": 4
}
],
"proeth:cause": "AI Report Generation",
"proeth:counterfactual": "Had the entire report been written in a uniform voice (or fully harmonized by Engineer A), the inconsistency would not have been observed",
"proeth:discoveredInSection": "facts",
"proeth:effect": "Report Stylistic Inconsistency",
"proeth:necessaryFactors": [
"AI-generated polished introduction section",
"Engineer A\u0027s own writing style in the data analysis section",
"Juxtaposition of the two within one report"
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Causal Language: Faced with the need to deliver both the report and the engineering design documents without the review by and mentorship from Engineer B, Engineer A opted to use open-sourced artificial intelligence (AI) software to create an initial draft of the necessary report
Necessary Factors (NESS):
- Loss of Engineer B's quality assurance and mentorship
- Engineer A's lack of confidence in technical writing
- Need to deliver the report
Sufficient Factors:
- Combination of mentor unavailability + writing insecurity + delivery deadline drove adoption of AI software
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
Supervisor Retirement
Engineer B retires, removing prior QA review and mentorship -
Dual Deliverable Pressure
Engineer A faces concurrent report and design deadlines without support -
AI Tool Adoption for Report
Engineer A decides to use open-source AI software to draft the report
Field classification (triples vs literals)
cause: Supervisor Retirementeffect: AI Tool Adoption for ReportresponsibleAgent: Engineer A
causalLanguagecontent: Faced with the need to deliver both the report and the engineering design documents without the review by and mentorship from Engineer B, Engineer A opted to use open-sourced artificial intelligence (AI) software to create an initial draft of the necessary reportnecessaryFactorscontent: Loss of Engineer B's quality assurance and mentorship; Engineer A's lack of confidence in technical writing; Need to deliver the reportsufficientFactorscontent: Combination of mentor unavailability + writing insecurity + delivery deadline drove adoption of AI softwarecounterfactualcontent: Had Engineer B remained available for review, Engineer A would likely have relied on mentorship rather than adopting unfamiliar AI softwarecausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'Supervisor Retirement', 'proeth:description': 'Engineer B retires, removing prior QA review and mentorship'}; {'proeth:step': 2, 'proeth:element': 'Dual Deliverable Pressure', 'proeth:description': 'Engineer A faces concurrent report and design deadlines without support'}; {'proeth:step': 3, 'proeth:element': 'AI Tool Adoption for Report', 'proeth:description': 'Engineer A decides to use open-source AI software to draft the report'}responsibilityTypeassessment: directwithinAgentControlassessment: True
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"proeth:cause": "Supervisor Retirement",
"proeth:counterfactual": "Had Engineer B remained available for review, Engineer A would likely have relied on mentorship rather than adopting unfamiliar AI software",
"proeth:discoveredInSection": "facts",
"proeth:effect": "AI Tool Adoption for Report",
"proeth:necessaryFactors": [
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Causal Language: Faced with the need to deliver both the report and the engineering design documents without the review by and mentorship from Engineer B, Engineer A opted to use open-sourced artificial intelligence (AI) software to create an initial draft of the necessary report and to use AI-assisted drafting tools to generate preliminary design documents
Necessary Factors (NESS):
- Concurrent deadlines for report and design
- Absence of Engineer B's support
- Availability of AI-assisted drafting tools
Sufficient Factors:
- Combination of time pressure + lack of mentorship + availability of AI tools led to adoption for design
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
Dual Deliverable Pressure
Engineer A faces concurrent report and design deadlines -
AI Tool Adoption for Design
Engineer A decides to use AI-assisted drafting tools for design documents
Field classification (triples vs literals)
cause: Dual Deliverable Pressureeffect: AI Tool Adoption for DesignresponsibleAgent: Engineer A
causalLanguagecontent: Faced with the need to deliver both the report and the engineering design documents without the review by and mentorship from Engineer B, Engineer A opted to use open-sourced artificial intelligence (AI) software to create an initial draft of the necessary report and to use AI-assisted drafting tools to generate preliminary design documentsnecessaryFactorscontent: Concurrent deadlines for report and design; Absence of Engineer B's support; Availability of AI-assisted drafting toolssufficientFactorscontent: Combination of time pressure + lack of mentorship + availability of AI tools led to adoption for designcounterfactualcontent: Without the concurrent pressure and loss of support, Engineer A may not have turned to an unfamiliar AI drafting tool for design workcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'Dual Deliverable Pressure', 'proeth:description': 'Engineer A faces concurrent report and design deadlines'}; {'proeth:step': 2, 'proeth:element': 'AI Tool Adoption for Design', 'proeth:description': 'Engineer A decides to use AI-assisted drafting tools for design documents'}responsibilityTypeassessment: directwithinAgentControlassessment: True
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"proeth:discoveredInSection": "facts",
"proeth:effect": "AI Tool Adoption for Design",
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Causal Language: When Engineer A uploaded Client W's information into the AI open-source interface, this was tantamount to placing the Client's private information in the public domain.
Necessary Factors (NESS):
- Possession of Client W's confidential information
- Use of an open-source (public) AI interface
- Absence of client consent to public disclosure
Sufficient Factors:
- Uploading confidential client data into an open-source AI interface was enough to expose it to the public domain
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
AI Tool Adoption for Report
Engineer A selects open-source AI software -
Client Data Upload to AI
Engineer A enters Client W's private information into the interface -
Client Data Exposure
Confidential information effectively placed in the public domain
Field classification (triples vs literals)
cause: Client Data Upload to AIeffect: Client Data ExposureresponsibleAgent: Engineer A
causalLanguagecontent: When Engineer A uploaded Client W's information into the AI open-source interface, this was tantamount to placing the Client's private information in the public domain.necessaryFactorscontent: Possession of Client W's confidential information; Use of an open-source (public) AI interface; Absence of client consent to public disclosuresufficientFactorscontent: Uploading confidential client data into an open-source AI interface was enough to expose it to the public domaincounterfactualcontent: Had Engineer A not uploaded the data, or used a secure/private tool with consent, exposure would not have occurredcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'AI Tool Adoption for Report', 'proeth:description': 'Engineer A selects open-source AI software'}; {'proeth:step': 2, 'proeth:element': 'Client Data Upload to AI', 'proeth:description': "Engineer A enters Client W's private information into the interface"}; {'proeth:step': 3, 'proeth:element': 'Client Data Exposure', 'proeth:description': 'Confidential information effectively placed in the public domain'}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
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"proeth:counterfactual": "Had Engineer A not uploaded the data, or used a secure/private tool with consent, exposure would not have occurred",
"proeth:discoveredInSection": "discussion",
"proeth:effect": "Client Data Exposure",
"proeth:necessaryFactors": [
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"Use of an open-source (public) AI interface",
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"proeth:responsibilityType": "direct",
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Causal Language: Engineer A input the information gathered from Client W into the AI software, and, after a few refining prompts, received a first draft of the report generated by the AI software.
Necessary Factors (NESS):
- Input of Client W's gathered information
- Refining prompts provided to the AI
- Functioning AI language processing software
Sufficient Factors:
- Inputting client data plus refining prompts was enough for the AI to generate a first draft report
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
Client Data Upload to AI
Engineer A inputs Client W information into the AI -
AI Report Generation
AI produces a first draft of the report
Field classification (triples vs literals)
cause: Client Data Upload to AIeffect: AI Report GenerationresponsibleAgent: Engineer A
causalLanguagecontent: Engineer A input the information gathered from Client W into the AI software, and, after a few refining prompts, received a first draft of the report generated by the AI software.necessaryFactorscontent: Input of Client W's gathered information; Refining prompts provided to the AI; Functioning AI language processing softwaresufficientFactorscontent: Inputting client data plus refining prompts was enough for the AI to generate a first draft reportcounterfactualcontent: Without the data input and prompts, the AI would not have produced the draft reportcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'Client Data Upload to AI', 'proeth:description': 'Engineer A inputs Client W information into the AI'}; {'proeth:step': 2, 'proeth:element': 'AI Report Generation', 'proeth:description': 'AI produces a first draft of the report'}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
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"proeth:discoveredInSection": "facts",
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Causal Language: Engineer A entered the information gathered from Client W into the AI software and relied on the AI-assisted drafting tools to generate a preliminary design of the plans, including basic layouts and technical specifications.
Necessary Factors (NESS):
- Input of Client W's gathered information into the AI
- Use of AI-assisted drafting tools
- Reliance on the tools to generate plans
Sufficient Factors:
- Inputting data and relying on AI-assisted drafting tools was enough to generate preliminary design plans
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
AI Tool Adoption for Design
Engineer A decides to use the AI-assisted drafting tool -
AI Design Generation
AI produces preliminary design documents with layouts and specifications
Field classification (triples vs literals)
cause: AI Tool Adoption for Designeffect: AI Design GenerationresponsibleAgent: Engineer A
causalLanguagecontent: Engineer A entered the information gathered from Client W into the AI software and relied on the AI-assisted drafting tools to generate a preliminary design of the plans, including basic layouts and technical specifications.necessaryFactorscontent: Input of Client W's gathered information into the AI; Use of AI-assisted drafting tools; Reliance on the tools to generate planssufficientFactorscontent: Inputting data and relying on AI-assisted drafting tools was enough to generate preliminary design planscounterfactualcontent: Without adopting and feeding the AI drafting tool, the preliminary AI-generated design would not existcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'AI Tool Adoption for Design', 'proeth:description': 'Engineer A decides to use the AI-assisted drafting tool'}; {'proeth:step': 2, 'proeth:element': 'AI Design Generation', 'proeth:description': 'AI produces preliminary design documents with layouts and specifications'}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
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Causal Language: Engineer A completed a cursory review of the AI-generated plans and adjusted certain elements to align with site-specific conditions.
Necessary Factors (NESS):
- AI-generated plans containing misaligned dimensions and omitted safety features
- Only a cursory (insufficient) review by Engineer A
- Failure to detect the errors before submission
Sufficient Factors:
- Combination of AI-generated defects + insufficient review allowed defects to remain in submitted documents
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
AI Design Generation
AI produces plans with misaligned dimensions and missing safety features -
Cursory Design Document Review
Engineer A reviews only superficially, missing the defects -
Design Document Submission
Defective documents submitted to Client W -
Design Defect Discovery
Client W identifies misaligned dimensions and omitted safety features
Field classification (triples vs literals)
cause: Cursory Design Document Revieweffect: Design Defect DiscoveryresponsibleAgent: Engineer A
causalLanguagecontent: Engineer A completed a cursory review of the AI-generated plans and adjusted certain elements to align with site-specific conditions.necessaryFactorscontent: AI-generated plans containing misaligned dimensions and omitted safety features; Only a cursory (insufficient) review by Engineer A; Failure to detect the errors before submissionsufficientFactorscontent: Combination of AI-generated defects + insufficient review allowed defects to remain in submitted documentscounterfactualcontent: Had Engineer A conducted a comprehensive verification process, the misaligned dimensions and omitted safety features would likely have been caught and corrected before Client reviewcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'AI Design Generation', 'proeth:description': 'AI produces plans with misaligned dimensions and missing safety features'}; {'proeth:step': 2, 'proeth:element': 'Cursory Design Document Review', 'proeth:description': 'Engineer A reviews only superficially, missing the defects'}; {'proeth:step': 3, 'proeth:element': 'Design Document Submission', 'proeth:description': 'Defective documents submitted to Client W'}; {'proeth:step': 4, 'proeth:element': 'Design Defect Discovery', 'proeth:description': 'Client W identifies misaligned dimensions and omitted safety features'}responsibilityTypeassessment: directwithinAgentControlassessment: True
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Causal Language: Client W raised concerns about the accuracy and reliability of the engineering design and instructed Engineer A to revise the plans, ensuring that all elements satisfied the necessary professional and regulatory standards.
Necessary Factors (NESS):
- Client W's discovery of misaligned dimensions and omitted safety features
- Client W's review of the design documents
Sufficient Factors:
- Discovery of defects in the design documents was enough to prompt a formal revision instruction
Responsibility Attribution:
Agent: Client W
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
Design Defect Discovery
Client W finds defects in the submitted design -
Revision Instruction Issued
Client W formally instructs Engineer A to revise the plans
Field classification (triples vs literals)
cause: Design Defect Discoveryeffect: Revision Instruction IssuedresponsibleAgent: Client W
causalLanguagecontent: Client W raised concerns about the accuracy and reliability of the engineering design and instructed Engineer A to revise the plans, ensuring that all elements satisfied the necessary professional and regulatory standards.necessaryFactorscontent: Client W's discovery of misaligned dimensions and omitted safety features; Client W's review of the design documentssufficientFactorscontent: Discovery of defects in the design documents was enough to prompt a formal revision instructioncounterfactualcontent: Had no defects been discovered, Client W would not have instructed Engineer A to revise the planscausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'Design Defect Discovery', 'proeth:description': 'Client W finds defects in the submitted design'}; {'proeth:step': 2, 'proeth:element': 'Revision Instruction Issued', 'proeth:description': 'Client W formally instructs Engineer A to revise the plans'}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#"
},
"@id": "http://proethica.org/cases/7#CausalChain_0f11ccf1",
"@type": "proeth:CausalChain",
"proeth:causalLanguage": "Client W raised concerns about the accuracy and reliability of the engineering design and instructed Engineer A to revise the plans, ensuring that all elements satisfied the necessary professional and regulatory standards.",
"proeth:causalSequence": [
{
"proeth:description": "Client W finds defects in the submitted design",
"proeth:element": "Design Defect Discovery",
"proeth:step": 1
},
{
"proeth:description": "Client W formally instructs Engineer A to revise the plans",
"proeth:element": "Revision Instruction Issued",
"proeth:step": 2
}
],
"proeth:cause": "Design Defect Discovery",
"proeth:counterfactual": "Had no defects been discovered, Client W would not have instructed Engineer A to revise the plans",
"proeth:discoveredInSection": "facts",
"proeth:effect": "Revision Instruction Issued",
"proeth:necessaryFactors": [
"Client W\u0027s discovery of misaligned dimensions and omitted safety features",
"Client W\u0027s review of the design documents"
],
"proeth:responsibilityType": "direct",
"proeth:responsibleAgent": "Client W",
"proeth:sufficientFactors": [
"Discovery of defects in the design documents was enough to prompt a formal revision instruction"
],
"proeth:withinAgentControl": true
}
Causal Language: When Client W reviewed the draft report, Client W noted that the section analyzing the groundwater monitoring data would benefit from minor edits for grammar and clarity, but found the introduction discussing the contaminant's manufacture, use, and characteristics to be exceptionally polished.
Necessary Factors (NESS):
- Submission of the draft report to Client W
- Presence of stylistically divergent sections in the report
Sufficient Factors:
- Submitting the stylistically mixed report to the client was enough to enable the client's observation of inconsistency
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
Draft Report Sealing and Submission
Engineer A seals and submits the draft report to Client W -
Report Stylistic Inconsistency
Client W notes the report reads as if written by two different authors
Field classification (triples vs literals)
cause: Draft Report Sealing and Submissioneffect: Report Stylistic InconsistencyresponsibleAgent: Engineer A
causalLanguagecontent: When Client W reviewed the draft report, Client W noted that the section analyzing the groundwater monitoring data would benefit from minor edits for grammar and clarity, but found the introduction discussing the contaminant's manufacture, use, and characteristics to be exceptionally polished.necessaryFactorscontent: Submission of the draft report to Client W; Presence of stylistically divergent sections in the reportsufficientFactorscontent: Submitting the stylistically mixed report to the client was enough to enable the client's observation of inconsistencycounterfactualcontent: Without submission to Client W, the inconsistency would not have been noted by the clientcausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'Draft Report Sealing and Submission', 'proeth:description': 'Engineer A seals and submits the draft report to Client W'}; {'proeth:step': 2, 'proeth:element': 'Report Stylistic Inconsistency', 'proeth:description': 'Client W notes the report reads as if written by two different authors'}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
{
"@context": {
"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#"
},
"@id": "http://proethica.org/cases/7#CausalChain_37f829e3",
"@type": "proeth:CausalChain",
"proeth:causalLanguage": "When Client W reviewed the draft report, Client W noted that the section analyzing the groundwater monitoring data would benefit from minor edits for grammar and clarity, but found the introduction discussing the contaminant\u0027s manufacture, use, and characteristics to be exceptionally polished.",
"proeth:causalSequence": [
{
"proeth:description": "Engineer A seals and submits the draft report to Client W",
"proeth:element": "Draft Report Sealing and Submission",
"proeth:step": 1
},
{
"proeth:description": "Client W notes the report reads as if written by two different authors",
"proeth:element": "Report Stylistic Inconsistency",
"proeth:step": 2
}
],
"proeth:cause": "Draft Report Sealing and Submission",
"proeth:counterfactual": "Without submission to Client W, the inconsistency would not have been noted by the client",
"proeth:discoveredInSection": "facts",
"proeth:effect": "Report Stylistic Inconsistency",
"proeth:necessaryFactors": [
"Submission of the draft report to Client W",
"Presence of stylistically divergent sections in the report"
],
"proeth:responsibilityType": "direct",
"proeth:responsibleAgent": "Engineer A",
"proeth:sufficientFactors": [
"Submitting the stylistically mixed report to the client was enough to enable the client\u0027s observation of inconsistency"
],
"proeth:withinAgentControl": true
}
Causal Language: Engineer A did not cite their use of AI-software or its large language models, and submitted the draft report to Client W for review
Necessary Factors (NESS):
- Substantial AI contribution to the report
- Engineer A's decision not to cite the AI use
- Absence of disclosure to the client
Sufficient Factors:
- Use of AI plus a deliberate choice not to cite it produced the disclosure omission
Responsibility Attribution:
Agent: Engineer A
Type: direct
Within Agent Control:
Yes
Causal Sequence:
-
AI Tool Adoption for Report
Engineer A uses AI to draft the report -
AI Disclosure Omission for Report
Engineer A chooses not to cite the AI's contribution
Field classification (triples vs literals)
cause: AI Tool Adoption for Reporteffect: AI Disclosure Omission for ReportresponsibleAgent: Engineer A
causalLanguagecontent: Engineer A did not cite their use of AI-software or its large language models, and submitted the draft report to Client W for reviewnecessaryFactorscontent: Substantial AI contribution to the report; Engineer A's decision not to cite the AI use; Absence of disclosure to the clientsufficientFactorscontent: Use of AI plus a deliberate choice not to cite it produced the disclosure omissioncounterfactualcontent: Had Engineer A chosen to disclose, the omission and resulting transparency concern would not have arisencausalSequencecontent: {'proeth:step': 1, 'proeth:element': 'AI Tool Adoption for Report', 'proeth:description': 'Engineer A uses AI to draft the report'}; {'proeth:step': 2, 'proeth:element': 'AI Disclosure Omission for Report', 'proeth:description': "Engineer A chooses not to cite the AI's contribution"}responsibilityTypeassessment: directwithinAgentControlassessment: True
RDF JSON-LD
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"proeth": "http://proethica.org/ontology/intermediate#",
"proeth-case": "http://proethica.org/cases/7#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#"
},
"@id": "http://proethica.org/cases/7#CausalChain_548e8fbd",
"@type": "proeth:CausalChain",
"proeth:causalLanguage": "Engineer A did not cite their use of AI-software or its large language models, and submitted the draft report to Client W for review",
"proeth:causalSequence": [
{
"proeth:description": "Engineer A uses AI to draft the report",
"proeth:element": "AI Tool Adoption for Report",
"proeth:step": 1
},
{
"proeth:description": "Engineer A chooses not to cite the AI\u0027s contribution",
"proeth:element": "AI Disclosure Omission for Report",
"proeth:step": 2
}
],
"proeth:cause": "AI Tool Adoption for Report",
"proeth:counterfactual": "Had Engineer A chosen to disclose, the omission and resulting transparency concern would not have arisen",
"proeth:discoveredInSection": "facts",
"proeth:effect": "AI Disclosure Omission for Report",
"proeth:necessaryFactors": [
"Substantial AI contribution to the report",
"Engineer A\u0027s decision not to cite the AI use",
"Absence of disclosure to the client"
],
"proeth:responsibilityType": "direct",
"proeth:responsibleAgent": "Engineer A",
"proeth:sufficientFactors": [
"Use of AI plus a deliberate choice not to cite it produced the disclosure omission"
],
"proeth:withinAgentControl": true
}
Allen Temporal Relations (9)
Interval algebra relationships with OWL-Time standard properties| From Entity | Allen Relation | To Entity | OWL-Time Property | Evidence |
|---|---|---|---|---|
| Engineer A's site observation and data gathering |
before
Entity1 is before Entity2 |
project deliverables due date |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
groundwater monitoring data from a site Engineer A had been observing for over a year |
| Engineer B's retirement |
before
Entity1 is before Entity2 |
Engineer A's use of AI software for dual deliverables |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Faced with the need to deliver both the report and the engineering design documents without the revi... [more] |
| Engineer B's mentorship and QA reviews |
before
Entity1 is before Entity2 |
Engineer B's retirement |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Previously, Engineer A had relied on guidance and quality assurance reviews by their mentor and supe... [more] |
| AI generation of initial report draft |
before
Entity1 is before Entity2 |
Engineer A's thorough review and cross-checking of the report |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Engineer A conducted a thorough review of the report, cross-checking key facts against professional ... [more] |
| AI generation of preliminary design documents |
before
Entity1 is before Entity2 |
Engineer A's cursory review of design documents |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Engineer A completed a cursory review of the AI-generated plans and adjusted certain elements to ali... [more] |
| Engineer A's thorough review of the report |
before
Entity1 is before Entity2 |
submission of draft report to Client W |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Engineer A ... submitted the draft report to Client W for review, including language to clearly iden... [more] |
| Engineer A's cursory review of design documents |
before
Entity1 is before Entity2 |
submission of design documents to Client W |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Engineer A completed a cursory review of the AI-generated plans and adjusted certain elements to ali... [more] |
| submission of both deliverables to Client W |
before
Entity1 is before Entity2 |
Client W's review and identification of issues |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
When Client W reviewed the draft report ... Client W, however, noticed several issues with the AI-ge... [more] |
| Client W's identification of issues in design documents |
before
Entity1 is before Entity2 |
Client W's instruction to Engineer A to revise the plans |
time:intervalBefore
http://www.w3.org/2006/time#intervalBefore |
Client W raised concerns about the accuracy and reliability of the engineering design and instructed... [more] |
About Allen Relations & OWL-Time
Allen's Interval Algebra provides 13 basic temporal relations between intervals. These relations are mapped to OWL-Time standard properties for interoperability with Semantic Web temporal reasoning systems and SPARQL queries.
Each relation includes both a ProEthica custom property and a
time:* OWL-Time property for maximum compatibility.