Social Choice for AI Ethics and Safety 2025 (SC4AI'25) took place at AAMAS 2025 in Detroit, Michigan on May 19, 2025.
The workshop was organized by Vincent Conitzer, Jobst Heitzig, Wesley Holliday, and Eric Pacuit.
Embedded Files
Program
Program
Please find the workshop program here.
Topics
Topics
Traditional or computational social choice that might be relevant in the AI context
Aspects of AI that might profit from some form of collective decision making
Concrete applications of social choice methods in AI
Examples of topics at the intersection of social choice theory and AI ethics/safety include, but are not limited to, the following:
Reinforcement Learning from Collective Human Feedback or multiple teachers
Social Choice Rules for higher-level steering of AI systems and Scalable Oversight
Democratic Inputs to AI, Constitutional AI, Iterated Amplification, Debate, Recursive Reward Modeling, etc.Â
Mechanism Design for Human-AI/AI-AI cooperation, Human-Compatible AI, corrigibility
Formal representation of values, ethical principles, legal concepts, and possibly incomplete or conflicting preferences
Standardization vs individualization, cooperation vs competition
Individual and collective decision theories under risk, uncertainty, and ambiguity
Scalable software tools for eliciting preferences and collective choice
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