Publications¶

Research outputs related to ProEthica. Each paper makes a distinct claim about the nine-component framework and its application.

Published¶

AAAI 2026 (Demonstration Track)¶

ProEthica: A Professional Role Based Ethical Analysis Tool Using LLM-Orchestrated, Ontology Supported Case Based Reasoning

Rauch, C. B., & Weber, R. O. (2026). Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41673-41675. DOI: 10.1609/aaai.v40i48.42377.

System demonstration of LLM-orchestrated, ontology-supported case-based reasoning over engineering ethics cases.

@inproceedings{rauch_weber_2026_aaai,
  title     = {ProEthica: A Professional Role Based Ethical Analysis Tool
               Using LLM-Orchestrated, Ontology Supported Case Based Reasoning},
  author    = {Rauch, Christopher B. and Weber, Rosina O.},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence
               (Demonstration Track)},
  volume    = {40},
  number    = {48},
  pages     = {41673--41675},
  year      = {2026},
  doi       = {10.1609/aaai.v40i48.42377}
}

AIES 2025¶

Precedent-Based Professional Role Ethics for AI Decision Analysis

Rauch, C. B. (2025). Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. OJS link.

IEEE CAI 2025¶

Role-Based Ethics for Decision-Maker Alignment

Rauch, C. B., Molineaux, M., Mainali, M., Sen, S., Floyd, M. W., & Weber, R. O. (2025). Proceedings of the IEEE Conference on Artificial Intelligence.

Under Review¶

The following manuscripts are submitted for peer review. Conference outcomes are pending.

ACM Hypertext 2026¶

Eight Linked Views from Nine-Component Extraction: Decomposing Professional Ethics Narratives

Submitted April 17, 2026. Double-blind review; author attribution withheld pending notification. ACM Hypertext 2026, London, September 14-18.

Reframes the nine-component extraction as a narrative decomposition that produces eight linked synthesis views. PDF: Hypertext_2026.pdf.

ICCBR 2026¶

Component-Aware Case Retrieval for Professional Ethics with Ontology-Constrained LLM Extraction

Rauch, C. B., & Weber, R. O. Submitted March 20, 2026. ICCBR 2026, Springer LNAI.

Establishes the nine-component decomposition as a case representation that survives embedding for structured retrieval. Reports a six-experiment validation study with Spearman rho 0.836 against section-based retrieval and 24.7 percent mean similarity improvement under component aggregation. PDF: ICCBR_2026_ProEthica.pdf.

KI 2026¶

An Ontology-Grounded Representation for Defeasible Professional Ethics Analysis

Rauch, C. B. KI 2026 (German AI Conference).

Treats the proethica-core v2.5.0 vocabulary, including the competesWith, prevailsOver, and defeasibleUnder object properties, as a representation suitable for defeasible normative reasoning over professional ethics cases. PDF: KI2026.pdf.

Differentiation¶

Each paper makes a distinct claim about the nine-component framework:

Paper	Claim
AAAI 2026	Working system demonstration
AIES 2025	Precedent-based retrieval as a basis for AI decision analysis
IEEE CAI 2025	Role-based ethics framework for human-machine decision alignment
HT 2026	Decomposition schema that turns linear narratives into navigable hypertexts
ICCBR 2026	Case representation that survives embedding for structured retrieval
KI 2026	Ontology-grounded representation for defeasible reasoning