An Algebraic Exposition of the Theory of Dyadic Morality
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.
- ▪The theory of dyadic morality (TDM) is grounded in a simple two-node template involving an intentional agent and a vulnerable patient.
- ▪Three psychological operators are identified to extend standard structural causal modeling for moral judgment computation.
- ▪The paper addresses scalability challenges of TDM and demonstrates applications to AI policy design.
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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.
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