MI
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Michael I. Jordan
computer scientiststatisticianuniversity teacherartificial intelligence researcher
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.
Across 1 conversation, Michael I. Jordan ranges across machine learning, recommendation systems, AI evolution. Michael I. Jordan argues AI is still a proto-field, akin to early chemical engineering, not yet achieving true intelligence. Jordan critiques the term 'AI' as misleading, advocating for 'machine learning' to better reflect the field's current capabilities.
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previewJordan argues that the intelligence of markets operates on principles distinct from human cognition, suggesting a form of intelligence not captured by traditional AI metrics.
#74Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
He critiques the current focus on prediction in AI, advocating for a shift towards decision-making processes that consider real-world complexities.
#74Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
Jordan emphasizes the need for a new terminology to replace 'AI', which he believes misleads the public and policymakers about the field's capabilities.
#74Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI
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