Axiomatic Choice
Not on the map. Why?
Abstract (arXiv)
People care about decision outcomes and how decisions get made, both when making decisions and reflecting on decisions. But formalizing the full range of normative concerns that drive decisions is an open challenge. We introduce Axiomatic Choice as a framework for making and evaluating decisions based on formal normative statements about decisions. These statements, or axioms, capture a wide array of desiderata, e.g., ethical constraints, beyond the typical treatment in Social Choice. Using our model of axioms and decisions we define key properties and introduce a taxonomy of axioms which may be of general interest. We then use these properties and our taxonomy to define the Decision-Evaluation Paradox, formalize the concepts of transparency and deception in explaining and justifying decisions, and reveal the limits of existing methods using axioms to make decisions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 26 references that are in the map. First posted on arXiv 26 Sep 2025.
Builds on
8 of 26 references.
References · 8
- 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
- 2023Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedbackcited by 759
- 2020Artificial Intelligence, Values and Alignmentcited by 448
- 2024Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedbackcited by 100
- 2024Axioms for AI Alignment from Human Feedbackcited by 52
- 2024Enabling the Digital Democratic Revival: A Research Program for Digital Democracycited by 6
- 2022Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfactioncited by 4
- 2022Explainability in Mechanism Design: Recent Advances and the Road Aheadcited by 3
Built on by
Not cited yet.