Responsible AI for Biomedical Research
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Responsible generative AI for Biomedical Research

A practical knowledge-exchange toolkit for safe AI use around human and sensitive data

CAKE fellowship project

Safer, more transparent generative AI use in biomedical research

Welcome to my CAKE fellowship page on responsible generative AI in biomedical research. I’m using this site to share the project as it develops: notes, updates, resources, reading, and practical tools for safer and more thoughtful AI use in research. My aim is to build something useful, transparent, and reusable for both my own work and for others working in similar settings.

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Affiliations Computational Abilities Knowledge Exchange logo Cancer Research UK Cambridge Institute logo University of Cambridge logo

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What this site is for

  • Share updates and practical outputs from the CAKE fellowship.
  • Gather guidance, training material and useful background materials in one place.
  • Keep draft work visible so the project can be discussed and improved as it develops.

Resources

Guidance icon

Guidance

Practical guidance pages intended to consolidate principles, boundaries and standard approaches for responsible generative AI use.

Open guidance

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Training

Workshop material, case studies and notes from clinics or pilot sessions that can later be reused by other groups.

Open training

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Materials

Reading notes, Cambridge links and other useful material gathered during the fellowship.

Open materials

Practical guidance, training and decision tools for responsible generative AI use in biomedical research.

 
  • Report an issue

Draft material stays public and clearly marked to support transparent iteration.