572 citations · 644 across the 10 of their papers we have counts for
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cs.AI2026
A Computationally Feasible Framework for Causal Probabilistic Explanation
Rafal Urbaniak, Sam Witty, Daniel Waxman +7
Explaining why a specific outcome occurred, and which inputs deserve the blame or credit, is central to philosophical, scientific, and policy analysis. Existing tools split into tw…
cs.AI2024★ 5 cited
NeuroAI for AI Safety
Patrick Mineault, Niccolò Zanichelli, Joanne Zichen Peng +12
As AI systems become increasingly powerful, the need for safe AI has become more pressing. Humans are an attractive model for AI safety: as the only known agents capable of general…