This podcast critically explores bias in AI, particularly within the context of healthcare education. It unpacks what “bias” means in AI systems and highlights the real-world consequences of these biases, from reinforcing harmful stereotypes to perpetuating inequities in student outcomes and clinical training. The discussion raises urgent questions about responsibility and how students and staff can be empowered to critically engage with these technologies.
How do we remove bias from generative AI?
Related links
Follow our podcast for more episodes on Spotify, Amazon Music and Apple Podcasts!
Get in touch
If you want to know more about this, get in touch!
Share this page
Related podcasts
Work with us
Collaboration
The Council collaborates with education providers, charities, government organisations and arms-length bodies, healthcare providers, and professional bodies to enhance healthcare education and workforce development.
Funding projects
The Council has worked with a number of external organisations who have funded specific projects. We are open to exploring opportunities that the Council is uniquely placed to deliver and that support the work of the Council and its members.
Memorandum of understanding
The Council uses memoranda of understanding with external organisations and networks to support collaboration on areas of mutual interest.
Supporting bids
The Council is open to working with members and stakeholder organisations to support bids for externally funded projects.