Skip to Content
Course

Ethics

Biomedical ethics for AI in health: from foundational principles and co-design methods to concrete use cases — bias, trustworthy AI, robotics in care, cyber security.

  • 3 topics
  • 3h 15min
  • Target 3 hrs

Introduction

  1. Biomedical Ethics in a nutshell
    Ambre DAVAT · 7min 14s
  2. Ethics of AI technologies: why, what and for whom?
    Ambre DAVAT · 16min 27s

Methods

  1. Ethics via co-design and participatory approaches
    Fabienne MARTIN-JUCHAT · 11min 20s
  2. Ethics beyond utilitarianism
    Ambre DAVAT · 18min 01s

Use cases

  1. Quantified self: between control and empowerment
    Fabienne MARTIN-JUCHAT · 16min 16s
  2. Population ageing: Can social robots help us feel better?
    Léa CHAUVIÈRE · 22min 55s
  3. Value sensitive design (VSD) and smart hospital
    Léa CHAUVIÈRE · 14min 52s
  4. Diagnosing with AI: Which transformations of healthcare work?
    Ambre DAVAT · 16min 41s
  5. Cyber security: here be dragons
    Ambre DAVAT · 14min 47s
  6. Bias as a risk for AI applications in healthcare
    Jana FEHR · 25min 18s
  7. Ethical principles for trustworthy AI
    Jana FEHR · 27min 12s
  8. Ethics, a minimum checklist: what are the minimum requirements for an ethical assessment?
    Paul-Antoine BEAUDOIN · 4min 49s

Check your knowledge

The debriefing quiz draws five questions at random from this course, one at a time, and explains each answer once you have picked. Unlimited attempts, and every attempt draws again. It is the study material for the final exam, which covers the whole programme.

Log in to take the quiz and track your progress.