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Here is a formal impossibility result for XAI: Informative Post-Hoc Explanations Only Exist for Simple Functions. I'll give an online presentation about this work next tuesday in @timvanerven.nl 's Theory of Interpretable AI Seminar: arxiv.org/abs/2508.11441 tverven.github.io/tiai-seminar/
7mo
Working on the interface of Machine Learning with Law, Philosophy, Ethics, or Social Science? Come join our new Lab for Norms and Practices in Machine Learning for Science. uni-tuebingen.de/en/128980#c2
Time to figure out which provable guarantees one can(not) give on XAI! Workshop "Theory of Explainable Machine Learning", Dec 2 in Copenhagen as part of the Ellis Unconference/EurIPS. Submission deadline: Oct 15. sites.google.com/view/theory-... eurips.cc/ellis/
7mo
8mo
I love the #eurips initiative! But to live up to its potential, it should be accepted an official #neurips conference location (similar to Mexico City) and not just an addon! Then we would save C02, rather than adding to it!!! What can we do to achieve this?
Looking forward to the Winter School on Causality and Explainable AI in Paris next week! xai-winter-school.github.io