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AI BENCHMARKS ARE BROKEN! [Prof. MELANIE MITCHELL]
Sept. 10, 2023, 6:01 p.m. | Machine Learning Street Talk
Machine Learning Street Talk www.youtube.com
Discord: https://discord.gg/ESrGqhf5CB
Pod version: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Prof--Melanie-Mitchell-2-0---AI-Benchmarks-are-Broken-e2959li
Prof. Melanie Mitchell argues that the concept of "understanding" in AI is ill-defined and multidimensional - we can't simply say an AI system does or doesn't understand. She advocates for rigorously testing AI systems' capabilities using proper experimental methods from cognitive science. Popular benchmarks for intelligence often rely on the assumption that if a human can perform a task, an AI that performs the task must have human-like general intelligence. But benchmarks should …
ai system ai systems benchmarks capabilities cognitive cognitive science concept experimental human intelligence melanie mitchell multidimensional popular science systems testing understanding
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