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MIT and PoliMi Advance AI’s Power to Explain Its Own Decisions

Researchers at MIT and the Polytechnic University of Milan developed a new framework that enables AI vision systems to explain their predictions in natural language. By extracting key internal features, translating them into human-understandable concepts, and constraining predictions to those concepts, the method improves both accuracy and transparency in tasks such as bird species recognition and skin lesion classification.