FINDHR
Financiado
Fairness and Intersectional Non Discrimination in Human Recommendation
FINDHR is an interdisciplinary project that seeks to prevent, detect, and mitigate discrimination in AI. Our research will be contextualized within the technical, legal, and ethical problems of algorithmic hiring and the domain of...
FINDHR is an interdisciplinary project that seeks to prevent, detect, and mitigate discrimination in AI. Our research will be contextualized within the technical, legal, and ethical problems of algorithmic hiring and the domain of human resources, but will also show how to manage discrimination risks in a broad class of applications involving human recommendation.
Through a context-sensitive, interdisciplinary approach, we will develop new technologies to measure discrimination risks, to create fairness-aware rankings and interventions, and to provide multi-stakeholder actionable interpretability. We will produce new technical guidance to perform impact assessment and algorithmic auditing, a protocol for equality monitoring, and a guide for fairness-aware AI software development. We will also design and deliver specialized skills training for developers and auditors of AI systems.
We ground our project in EU regulation and policy. As tackling discrimination risks in AI requires processing sensitive data, we will perform a targeted legal analysis of tensions between data protection regulation (including the GDPR) and anti-discrimination regulation in Europe. We will engage with underrepresented groups through multiple mechanisms including consultation with experts and participatory action research.
In our research, technology, law, and ethics are interwoven. The consortium includes leaders in algorithmic fairness and explainability research (UPF, UVA, UNIPI, MPI-SP), pioneers in the auditing of digital services (AW, ETICAS), and two industry partners that are leaders in their respective markets (ADE, RAND), complemented by experts in technology regulation (RU) and cross-cultural digital ethics (EUR), as well as worker representatives (ETUC) and two NGOs dedicated to fighting discrimination against women (WIDE+) and vulnerable populations (PRAK).
All outputs will be released as open access publications, open source software, open datasets, and open courseware.
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Duración del proyecto: 40 meses
Fecha Inicio: 2022-06-20
Fecha Fin: 2025-10-31
Fecha Fin: 2025-10-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-06-20
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-CL4-2021-HUMAN-01-24:
Tackling gender, race and other biases in AI (RIA)
Cerrada
hace 3 años
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
UNIVERSITAT POMPEU FABRA
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
321
Total investigadores
321
307.86K€ |
Participante