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A Polyphonic Conception of AI Understanding

arXiv:2609.36079v1 Announce Type: new Abstract: 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…

arXiv — cs.AIBy: Matthieu Queloz, Pierre BeckmannSeptember 30, 2026 (Sep 30)
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  • arXiv:2609.36079v1 Announce Type: new Abstract: 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…
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A Polyphonic Conception of AI Understanding

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