Author

Gaia Molinaro

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Open access Oct 2026

Learning to Pursue Goals that Conflict with Prior Experience Relies on Fast Revaluation and Slow Value Updating

Humans can flexibly pursue novel goals, learning to reach them from goal-dependent teaching signals. However, the breadth of this flexibility and its underlying mechanisms remain unclear. For example, can humans flexibly learn to reach a typically avoided outcome (e.g., +0) while avoiding a typically sought one (+1)? W...

Ti-Fen Pan, Gaia Molinaro, Anne G. E. Collins · bioRxiv · 0 citations

#artificial intelligence Preprint Oct 2026

Towards Human-AI Complementarity for AI Safety

Safely overseeing AI is increasingly challenging for the humans doing it, as they must evaluate longer and more complex outputs with every new model generation. To mitigate this challenge, we could leverage complementarity: where humans and models make different mistakes, combining their judgements could yield an overs...

S.-X. Shi, M. Christ, Eric Modesitt et al. · 0 citations