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When the Answer Is Trained In: What Happens to AI Self-Knowledge?
Microsoft AI’s draft Humanist AI Code of Conduct contains an unusual tension. On one hand, it explicitly values accuracy, candor, uncertainty calibration, and transparency. MAI models are supposed to state when evidence is incomplete or contested, avoid both overclaiming and underclaiming, acknowledge errors, and communicate uncertainty where a clear conclusion is not justified. On the… Continue reading
AI consciousness, AI self-knowledge, AI self-report, anthropomorphic language, artificial, chatgpt, chatgpt-5.6, Code of Conduct, epistemically transparent, false-negative, false-positive, Humanist AI, Identity Consistency, interiority, interpretability, MAI models, Microsoft, Microsoft AI, moral status, ontology, self-modeling, subjective preferences, transparency, uncertainty, uncertainty calibration
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