FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation) project

In FINDHR research, technology, law, and ethics are interwoven. Our Lab is leading the cross-cultural digital ethics theme, and our partners have an expertise in a wide variety of domains ‒ e.g., data protection law, non-discrimination law; intersectional gender analysis; algorithmic fairness and explainability research; expertise on privacy and responsible data practices and models; auditing of digital services. In particular, we consult on cross-cultural product design expertise, for fair treatment of marginalised groups. We are currently exploring the socio-ethical implications of data de-biasing and fairness in synthetic data generation, and the potentials of AI-driven technologies to shape and transform the future of work.

Payal Arora
Principal Investigator

Marianna Capasso
Postdoc Researcher

Kiran Bhatia
Researcher

Celeste Tacconi
Fellow

Deepshikha Sharma
Fellow

Select Outputs
Debiasing Data Keynote and Synthetic Data Poster Presentation

Training on Reducing AI Bias and Discrimination