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Governing Algorithms for Care

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ELSA AI for Health EquityUvA Research Priority Area on AI for Health Decision-MakingNWO-funded research on fairness in data-driven medical technologies
About this event

What to expect

Governing Algorithms for Care brings together researchers, healthcare professionals, legal scholars, and technologists for two intensive days examining how AI is reshaping healthcare delivery — and how we can ensure these powerful systems serve patients responsibly. As algorithms increasingly influence diagnoses, treatment recommendations, and care pathways, fundamental questions around fairness, accountability, and patient autonomy demand urgent attention.

This interdisciplinary conference addresses the complex governance challenges at the intersection of AI, medicine, law, and ethics. Whether you're developing medical AI systems, shaping healthcare policy, or advocating for patient rights, you'll find sessions tackling the practical and philosophical questions that matter most in this rapidly evolving field.

What to Expect

The programme spans presentations, workshops, and panel discussions exploring how AI in healthcare can be regulated, designed, and deployed to protect fundamental rights while enabling innovation. Expect rigorous academic insights alongside practice-oriented case studies from those implementing these technologies in clinical settings.

Core themes include:

  • Health equity and fairness — addressing algorithmic bias and ensuring AI benefits all patient populations
  • AI regulation and compliance — navigating emerging legal frameworks and standards
  • Data protection, accountability, and liability — understanding who is responsible when AI systems make mistakes
  • Ethical design in medical technologies — building values into algorithms from the ground up
  • Patients' rights in AI-driven care — preserving autonomy, informed consent, and transparency

Who Should Attend

This conference welcomes contributions from across disciplines. Legal researchers examining healthcare regulation, medical practitioners integrating AI into clinical workflows, ethicists concerned with algorithmic fairness, and technologists building healthcare systems will all find relevant sessions and valuable networking opportunities.

The organisers explicitly encourage interdisciplinary and practice-oriented contributions, recognising that governance of healthcare AI requires dialogue between law, medicine, ethics, and technology. If you're working at any of these intersections, this conference offers a rare opportunity to engage with others tackling similar challenges from different perspectives.

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