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This research proposes a logical framework implemented in Answer Set Programming to evaluate the ethical implications of speech acts, specifically addressing the tension between truthfulness and benevolent lies in high-stakes scenarios. By modeling agent beliefs under deontological, consequentialist, and principialist ethics, the study offers a formal method for multi-agent systems to navigate moral dilemmas where lying could lead to unintended fatal consequences. The work advances AI safety by providing a structured approach to aligning autonomous decision-making with complex ethical theories.
Sources coveringarXiv, AI Alignment Forum, LessWrong
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Formalizing the Moral Evaluation of Speech Acts: Truthfulness, Lies and Ethical Dilemmas

arXiv2 min read

arXiv:2610.04747v1 Announce Type: new Abstract: In life-or-death situations, a benevolent lie may appear more moral than telling the truth. Yet such lies can backfire, producing unintended and sometimes fatal consequences. This tension, famously disputed by Kant and Constant in 1797, applies not only to lying but to assertive speech acts in general, raising the question of which utterance should be chosen when moral stakes are high. We present a logical framework for the ethical evaluation of speech-act utterances based on agents' beliefs. Implemented in Answer Set Programming (ASP), the framework assesses utterances under deontologism, consequentialism, and principialism, and is illustrated on Sartre's The Wall (1939), a reworking of that controversy in which lying leads alternately to rescue and to death. Our setting is general by design: as two variants show, accommodating a new moral situation amounts to adjusting parameters, not rules.

Abstract:In life-or-death situations, a benevolent lie may appear more moral than telling the truth. Yet such lies can backfire, producing unintended and sometimes fatal consequences. This tension, famously disputed by Kant and Constant in 1797, applies not only to lying but to assertive speech acts in general, raising the question of which utterance should be chosen when moral stakes are high. We present a logical framework for the ethical evaluation of speech-act utterances based on agents' beliefs. Implemented in Answer Set Programming (ASP), the framework assesses utterances under deontologism, consequentialism, and principialism, and is illustrated on Sartre's The Wall (1939), a reworking of that controversy in which lying leads alternately to rescue and to death. Our setting is general by design: as two variants show, accommodating a new moral situation amounts to adjusting parameters, not rules.

To appear in the Proceedings of the 27th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2026). Kumamoto, Japan

Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO); Multiagent Systems (cs.MA)

arXiv:2610.04747 [cs.AI]

(or arXiv:2610.04747v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.04747 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 259 words

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