Philosophical reflection on Norbert Wiener’s views of technology and geopoliticsJudea Pearl critiques opaque deep‑learning systems
Case File
kaggle-ho-016827House OversightJudea Pearl’s AI Contributions and Views on Deep Learning
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House Oversight
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kaggle-ho-016827
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Summary
Judea Pearl’s AI Contributions and Views on Deep Learning The passage only discusses academic work on Bayesian networks and causal inference, with no mention of wrongdoing, financial flows, or powerful political actors. It offers no actionable investigative leads. Key insights: Judea Pearl introduced Bayesian networks in the 1980s.; He critiques deep learning for lack of transparency.; Pearl argues deep learning cannot achieve human-level intelligence.
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kagglehouse-oversightartificial-intelligencebayesian-networkscausal-inferencedeep-learning
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