{"id":"b6910b7df05bcbde9e2a380deb378eb726e938dad5a1c17682a3ee8b69336c5d","title":"Melanie Mitchell argues in her essay that AI needs judgment, not just reckoning","argument":"Melanie Mitchell’s essay was published on February 10, 2026. Reflecting on philosopher Brian Cantwell Smith’s work, Mitchell argues that AI systems’ impressive “reckoning”—their calculative prowess—does not amount to judgment: thought grounded in ethical commitment and responsible action. She recalls Smith’s warning that relying on reckoning where judgment is needed could be dangerous, and that admiration for machines’ calculative abilities could shift expectations of human thought in the same direction.\n\nMitchell connects Smith’s argument to the “everything else” beyond what AI systems encounter in their training. She argues that people make the world intelligible through engagement with it, while current AI systems lack that grounding. 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At least that’s my view."},{"dimension":"date","status":"pass","explanation":"The evidence date is the instant 2026-02-10T00:10:57Z, whose UTC calendar day is February 10, 2026. This matches the source dateline. No later events, hindsight framing or forecasts presented as outcomes appear. The publisher page shows no edit after publication, since the modified time equals the published time.","excerpt":"Melanie Mitchell\nFeb 10, 2026"},{"dimension":"support","status":"pass","explanation":"Each claim matches the source text. Mitchell endorses Smith's two fears and says reckoning without judgment is dangerous. She says AI lacks the embedding and engagement that humans have, and she quotes Smith on the need for a carefully delineated map. No implied benefits or costs are invented.","excerpt":"But reckoning without judgment is a dangerous thing"},{"dimension":"media","status":"pass","explanation":"No media was selected, and no verified media candidates were supplied. 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