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We are a collection of researchers interested in using causal models to understand agent incentives, in order to design safe and fair AI algorithms. If you are interested in collaborating on any relat

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Causal Incentives Working Group

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2026-01-01 16:05:17

raw text

Papers | Causal Incentives Working Group Causal Incentives Working Group We are a collection of researchers interested in using causal models to understand agent incentives, in order to design safe and fair AI algorithms. If you are interested in collaborating on any related problems, feel free to reach out to us. View My GitHub Profile Papers Towards Causal Foundations of Safe AGI is a blog post sequence describing how our research fits together, and building on our UAI tutorial ( slides , video ). Previous versions at AAAI and UCL ELLIS video . The Alignment Forum, 2023. Characterising Decision Theories with Mechanised Causal Graphs : Shows that mechanised causal graphs can be used to cleanly define different decision theories. Matt MacDermott, Tom Everitt, Francesco Belardinelli arXiv, 2023 On Imperfect Recall in Multi-Agent Influence Diagrams : Extends the theory of multi-agent influence diagrams (and causal games) to cover imperfect recall, mixed polici...

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