AI and Equality

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AI & Equality Course

A fair future starts here

We were excited to bring you our successful and dynamic free AI & Equality Human Rights Toolbox Course, which was available twice in 2025 in January and June/July as a fully accompanied learning experience.

Duration: 4 weeks   |   3 hours of study weekly

100% online  |   Live tutoring and  directed learning

Weekly check-ins and troubleshooting with tutors and peers

We aim to:

  • Equip you with a detailed understanding of a human-rights-based approach to AI development 
  • Provide a comprehensive understanding of the mechanisms currently counteracting this approach
  • Introduce technical and non-technical solutions around the human rights impacts of AI systems 
  • Enable you to critically analyse and reflect on the objectives and outcomes of any new technology products
  • Promote collaboration between disciplines and actors

Why?

  • The creation of technology is strengthened by consultation, consensus, and diverse disciplinary perspectives, as well as the lived experiences of affected communities.
  • Impacted communities & experts from all parts of the technology and social science spectrums require a basic understanding and common vocabulary to participate in this important conversation.

Who?

  • Anyone with an interest in human rights and AI systems    
  • For technical participants: Code to Module 3 (and an additional Module 5) can be viewed in Jupyter Notebooks with a follow-along tutorial. Coding-office hours (in addition to the Hang Out Coffee Hours  to discuss questions once a week)  are also available.

Topics

  • Week 1. Human Rights & AI

  • Week 2. How Threats to Human Rights Enter the AI Lifecycle 

  • Week 3. Fairness Concepts & Metrics

  • Week 4. A Human Rights-Based Approach to AI Development

Testimonials

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Teaching team

Caitlin Kraft-Buchman

CEO/Founder of Women at the Table & the A+ Alliance for Inclusive Algorithms.

Co-chair of Expert Group for 2023's UN Commission on the Status of Women - subgroup Technology & Innovation

Emma Kallina

4th year PhD at the University of Cambridge.

Focus on stakeholder involvement for responsible AI practice.

Enrichment student at the Alan Turing Institute.

Savannah Thais

Associate Research Scientist in the Data Science Institute at Columbia University with a focus on machine learning (ML). She received her PhD in Physics from Yale University in 2019.

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.

We’re creating a global community that brings together individuals passionate about inclusive, human rights-based AI.

Join our AI & Equality community of students, academics, data scientists and AI practitioners who believe in responsible and fair AI.

Join us