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Mathematical framework could improve transparency of AI in clinical settings
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Fusion42 · 10 September 2026 · Fusion42 review
Researchers at King’s College London developed a mathematical framework to measure and detect hidden information leakage in concept-based AI models, enhancing transparency and reliability of AI decisions in clinical settings.
This Wire brief sits within Fusion42's coverage of Digital Health.
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AI developers working in healthcare must now upgrade concept-based models to prevent hidden data leaking into predictions. You can use this framework to prove your system supports human oversight and regulatory transparency.
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1 source · 9 Sep 2026
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