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Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

Machine Learning Street Talk (MLST)

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Reevaluating Intelligence: Goals and Understanding in AI

This chapter explores the nature of goals across different intelligences, including AI, animals, and humans, questioning the universality of these concepts. It challenges the understanding of AI capabilities while examining philosophical insights and the importance of experimental design in evaluating machine cognition. The discussion introduces the Concept Arc approach, aimed at refining assessments of understanding through a systematic classification of problems.

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