Abstract
AI-based decision support systems are increasingly deployed in industry, in the public and private sectors, and in policy-making. As our society is facing a dramatic increase in inequalities and intersectional discrimination, we need to prevent AI systems to amplify this phenomenon but rather mitigate it. To trust these systems, domain experts and stakeholders need to trust the decisions. Fairness stands as one of the main principles of Trustworthy AI promoted at EU level. How these principles, in particular fairness, translate into technical, functional social, and lawful requirements in the AI system design is still an open question. Similarly we don’t know how to test if a system is compliant with these principles and repair it in case it is not. AEQUITAS proposes the design of a controlled experimentation environment for developers and users to create controlled experiments for - assessing the bias in AI systems, e.g., identifying potential causes of bias in data, algorithms, and interpretation of results, - providing, when possible, effective methods and engineering guidelines to repair, remove, and mitigate bias, - provide fairness-by-design guidelines, methodologies, and software engineering techniques to design new bias-free systems The experimentation environment generates synthetic data sets with different features influencing fairness for a test in laboratories. Real use cases in health care, human resources and social disadvantaged group challenges further test the experimentation platform showcasing the effectiveness of the solution proposed. The experimentation playground will be integrated on the AI-on-demand platform to boost its uptake, but a stand-alone release will enable on-premise privacy-preserving test of AI-systems fairness. AEQUITAS relies on a strong consortium featuring AI experts, domain experts in the use case sectors as well as social scientists and associations defending rights of minorities and discriminated groups.
Project details
Unibo Team Leader: Roberta Calegari
Unibo involved Department/s:
Dipartimento di Informatica - Scienza e Ingegneria
Dipartimento di Scienze Mediche e Chirurgiche
Dipartimento di Scienze Politiche e Sociali
Coordinator:
ALMA MATER STUDIORUM - Università di Bologna(Italy)
Other Participants:
Philips Electronics Nederland B.V.
(Netherlands)
Eurocadres-Conseil Des Cadres Europeens Saspj
(Belgium)
Women in AI
(France)
Irccs - Azienda Ospedaliero-Universitaria Di Bologna - Policlinico S.Orsola-Malpighi (Aosp)
(Italy)
Period Think Tank Aps
(Italy)
Associazione Arcigay - Associazione Lesbica E Gay Italiana
(Italy)
Ull Universidad De La Laguna
(Spain)
Stichting Allai Nederland
(Netherlands)
Modis Consulting Srl
(Italy)
Instituto Tecnologico De Informatica
(Spain)
University College Cork
(Ireland)
Asociacion Para El Desarrollo Economico Y Social Rayuela
(Spain)
Umea Universitet
(Sweden)
Adecco Formazione Srl
(Italy)
Globaz, S.A.
(Portugal)
Total Eu Contribution: Euro (EUR) 3.493.992,00
Project Duration in months: 36
Start Date:
01/11/2022
End Date:
31/10/2025
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070363