Microsoft Research Podcast Interview: Jennifer Neville on AI Evaluation and Failure
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On October 7, 2026, the Microsoft Research podcast released a new episode (primary source). Microsoft Research partner research manager Jennifer Neville spoke with applied scientist Chad Atalla on the topic of evaluating AI systems and their failures. The two discussed how evaluation drives AI systems to push performance boundaries to meet user needs, as well as the "unexpected failures" models exhibit when tested beyond traditional benchmarks. In the episode, Neville shared practical advice on using existing AI systems and emphasized the importance of carefully examining data when results don't match expectations. This is the only report on the event so far, with no updates.
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- Microsoft ResearchWhat AI gets wrong and what failure teaches us
In a Microsoft Research podcast, partner research manager Jennifer Neville speaks with applied scientist Chad Atalla about how evaluation drives AI systems past performance limits to meet user needs, and about the "unexpected failures" models show when tested beyond standard benchmarks. She shares practical advice on using existing AI systems and stresses the importance of carefully checking data when results don't match expectations.