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An Algebraic Exposition of the Theory of Dyadic Morality

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An Algebraic Exposition of the Theory of Dyadic Morality
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The paper presents an algebraic exposition of the theory of dyadic morality, which models moral judgment through a two-node framework. It formalizes this theory using structural causal modeling and identifies key psychological operators that enhance moral judgment computation. The findings have implications for AI policy design, particularly in areas such as user agency and moral cognition.

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Original publisherarXiv cs.AI
Canonical URLhttps://arxiv.org/abs/2605.16153
Publication timeMon, 18 May 2026 00:00:00 -0400
Retrieval time2026-05-18T04:04:54.418Z
Last seen2026-05-18T04:04:54.418Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
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Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
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Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Artificial Intelligence arXiv:2605.16153 (cs) [Submitted on 15 May 2026] Title:An Algebraic Exposition of the Theory of Dyadic Morality Authors:Kush R. Varshney View a PDF of the paper titled An Algebraic Exposition of the Theory of Dyadic Morality, by Kush R. Varshney View PDF HTML (experimental) Abstract:This paper provides an algebraic exposition of the theory of dyadic morality (TDM), a psychological model of moral judgment grounded in a simple two-node template: an intentional agent causing harm to a vulnerable patient.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

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