A fair future starts here
We’re excited to bring you our successful and dynamic free AI & Equality Human Rights Toolbox Course, which will be available twice in 2025 as a fully accompanied learning experience.
100% online | Live tutoring and directed learning
Weekly check-ins and troubleshooting with tutors and peers
Duration: 4 weeks | 3 hours of study weekly
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.
When?
- June 3rd, 10th, 17th & July 1st
- Bonus sessions for presentations TBC
- 15.00-18.00 CET
- 1-2 hours reading per week
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
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Week 1. Human Rights & AI
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Week 2. How Threats to Human Rights Enter the AI Lifecycle
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Week 3. Fairness Concepts & Metrics
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Week 4. A Human Rights-Based Approach to AI Development
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
3rd year PhD at the University of Cambridge.
Focus on stakeholder involvement for responsible AI practice.
Enrichment student at the Alan Turing Institute.