Fairness and Intersectional Non-Discrimination in Human Recommendation

Grant: European Commission – Horizon Europe – Research and Innovation Action (RIA)
Project name: Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR)
Researcher: prof.dr. Payal Arora
Timeline: 2022-2025

FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation) is a Horizon Europe EU-funded research project (grant agreement No 101070212) coordinated by Dr. Carlos Castillo, ICREA Research Professor at Universitat Pompeu Fabra. It aims to develop methods, algorithms, and training for anti-discriminatory AI, which are contextualized within the technical, legal, and ethical problems of algorithmic hiring, yet are applicable to a broad class of applications involving human recommendation. In this 3-year project, the EUR team will provide ethical reviews of major deliverables and assess the cross-cultural values guiding AI enabled recruitment tools. EUR will provide ethical considerations and guidance to computer scientists at UPF, University of Amsterdam (UVA), University of Pisa (UNIPI), and the Max-Planck Institute on Security and Privacy (MPI-SP) to develop privacy-preserving methods for discrimination risk monitoring, as well as methods to create fairness-aware interpretable rankings, to create datasets for algorithmic fairness research. Interdisciplinary collaborations are at the core of the project. EUR works closely with diverse stakeholders to provide ethical insights in the development of an impact assessment and auditing framework together with legal scholars from Radboud University Nijmegen (RU), researchers from AlgorithmWatch, experts from ETICAS Research and Consulting, and advocacy representatives from Women in Development Europe, Praksis, and the European Trade Union Confederation.

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