"Risks and Limitations of AI in the Life Sciences" with Rachel Thomas
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About Event
Join KAMI Think Tank for a 45-minute conversation with Rachel Thomas, on the risks and limitations of AI in the life sciences.
This session critically examines where machine learning breaks down in real scientific settings. Through concrete case studies, from enzyme function prediction errors to misused health data and the long road behind AlphaFold, we’ll discuss how data quality, proxy measures, and missing domain expertise can quietly undermine results.
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