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Whitepaper explores diverse thinking's impact on AI governance and model performance in life sciences, suggesting improvements in trustworthiness.
This whitepaper explores why diverse thinking builds better AI in global life sciences. It argues that diversity is not only a social or cultural value, but a technical and governance asset that improves model validity, reduces hidden bias, strengthens external generalizability, and supports more trustworthy deployment. Combining a patient-centered perspective with a boardroom-ready governance lens, the paper presents six industry-standard controls for AI oversight and frames diverse governance as a quality-assurance and de-risking mechanism for complex AI systems.
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Fernando Bardella (2026) studied this question.
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