Save the date 19+20 October: SC4AI'24e @ ECAI-2024 in Santiago de Compostela
Jobst Heitzig
Jobst Heitzig
[we apologize for cross-posting]
Dear colleagues,
we’d be delighted if you joined us for the workshop on
Social Choice for AI Ethics and Safety (SC4AI’24e)
19 and 20 October 2024
Santiago de Compostela, Spain
as part of the ECAI-2024 pre-conference.
Please submit contributions via this link by May 15.
Topics include: 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. 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.
Looking forward to seeing you in Santiago de Compostela in autumn,
Vincent Conitzer
Jobst Heitzig
Wesley Holliday
Jobst Heitzig
[we apologize for cross-posting]
Dear colleague,
it is still possible for a few days to submit contributions to our previously announced workshop on
Social Choice for AI Ethics and Safety (SC4AI’24e)
19 and 20 October 2024
Santiago de Compostela, Spain
as part of the ECAI-2024 pre-conference.
We welcome both existing work or novel results on
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.
Please submit contributions via this link by May 15.
We’d be delighted if you joined us for this workshop!
Topics include: 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. 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.
Looking forward to seeing you in Santiago de Compostela in autumn,
Vincent Conitzer
Jobst Heitzig
Wesley Holliday