FINDHR (Fairness and Intersectional
Non-Discrimination in Human Recommendation) project
Funded by: Horizon Europe
In this Horizon Europe funded FINDR project research, technology, law, and ethics intersect as we explore data de-biasing, fairness in synthetic data, and AI’s impact on the future of work. We also consult on cross-cultural product design for the fair treatment of marginalized groups. The Lab worked closely with the commissioned designers to create interactive toolkits and visualise insights from the projects.
- Marianna Capasso, Payal Arora, Deepshikha Sharma and Celeste Tacconi: On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management The Business and Human Rights Journal 2025
- Philippe de Wilde, Payal Arora, Fernando Buarque, Yik Chan Chin,
Mamello Thinyane, Stinckwich Serge, Fournier-Tombs Eleonore and Marwala
Tshilidzi. Recommendations on the Use of Synthetic Data to Train AI Models: UNU Centre, UNU-CPR, UNU Macau, 2024.
