The Course
The foundation the whole toolbox rests on. A free course in a human rights-based approach to AI, available to take at your own pace, with a certificate from the Sorbonne Centre for AI.
What it covers:
Four parts, building on each other:
- Human rights and AI — why rights, not ethics, and what that changes in practice.
- How threats to human rights enter the AI lifecycle — where harm gets in, stage by stage.
- Fairness concepts and metrics — the technical core, made legible to non-technical learners.
- A human rights-based approach to AI development — putting it together into a way of working.
Technical participants can follow the code in Jupyter notebooks; non-technical participants can follow the same ideas without it.
That is the point: the course is built for a multidisciplinary room, the data scientist and the policymaker learning the same vocabulary so they can actually talk to each other.
Two ways to take it:
• Free, self-paced, on the AI & Equality community platform.
• Or for a certificate from the Sorbonne Centre for AI.
• Spanish note: A Spanish-language course, adapted with CENIA and the University of Chile, is also available.
Testimonials
Teaching team
Caitlin Kraft-Buchman
A serial coalition builder from New York and permanently based in Geneva. CEO/Founder of Women at the Table & the A+ Alliance for Inclusive Algorithms. Co-founder of the International Gender Champions (2015).
Dr Emma Kallina
Bridging academia and advocacy, Emma is a Postdoctoral Researcher with the Compliant & Accountable Systems Group (spanning the University of Cambridge and the Research Center Trustworthy Data Science & Security) and serves as the Public Interest Tech Lead at AI & Equality by Women at the Table. A frequent speaker on the global stage, she has co-organised and presented her work at major international forums, including UNESCO and the UN Forum for Business and Human Rights.
Savannah Thais
Assistant Professor, Computer Science, Hunter College, City University of New York Postdoc, Princeton Institute for Computational Science and Engineering, Co-founder Machine Learning Working Group at the CMS Experiment at CERN; PhD, Physics, Yale University working on ATLAS Experiment at CERN. Expert in measurement and evaluation of AI models and systems.
Amina Soulimani
PhD Candidate in Anthropology at the University of Cape Town (South Africa) investigating human-machine interactions in hospitals, and contextualized ethics of care.