Descripción del proyecto
Lidiar con la discriminación en la contratación algorítmica
La contratación algorítmica es el uso de herramientas basadas en la inteligencia artificial (IA) para encontrar y seleccionar candidatos para un puesto. Como otras aplicaciones de IA, puede perpetuar la discriminación. Teniendo en cuenta los aspectos tecnológicos, jurídicos y éticos, el equipo del proyecto financiado con fondos europeos FINDHR facilitará la prevención, la detección y la gestión de la discriminación en la contratación algorítmica y en áreas estrechamente relacionadas con la recomendación humana. El equipo de FINDHR se propone crear nuevas formas de determinar el riesgo de discriminación, producir resultados menos sesgados e incorporar de manera significativa la experiencia humana. Además, tiene como objetivo crear procedimientos para el desarrollo, el seguimiento y la formación del «software». Una vez finalizado, las publicaciones, el «software», los cursos en línea y los conjuntos de datos del proyecto estarán disponibles gratuitamente para el público con licencias abiertas y gratuitas.
Objetivo
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.
Ámbito científico
- social sciencespolitical sciencespolitical policiescivil societynongovernmental organizations
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencessoftwaresoftware development
- social sciencessociologysocial issuessocial inequalities
- social scienceslaw
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Programa(s)
Régimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
08002 Barcelona
España