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A Polyphonic Conception of AI Understanding

When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statistical descriptions struggle to distinguish trustworthy from untrustworthy outputs without reintroducing the question of AI…

By Matthieu Queloz, Pierre BeckmannarXiv - cs.AI

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Originally published by arXiv - cs.AI on Sep 30, 2026.

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