Researchers warn AI-generated faulty health 'causal inferences' are worse than math slop
ivan_bezdomny · x · 2026-10-15
David Bellamy argues that while AI-flooded math results are bad enough, flooding the public with faulty 'causal inferences' about health mined from retrospective datasets is far more dangerous, since 99.9% of people can't evaluate them. ivanbezdomny adds that such health AI slop undermines public trust in AI practitioners as a whole.
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