What AI gets wrong and what failure teaches us
TL;DR
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Nauti's Take
Microsoft Research’s profile offers a useful research perspective, yet it does not quantify a specific model failure. Teams putting AI into operational workflows should test cases with several dependencies and changing conditions, then log the broken assumption, missing data, and whether a human can catch the damage in time.
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