Policy advice and best practices on bias and fairness in AI

verfasst von

Jose M. Alvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri

Abstract

The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of this paper is to concisely survey the state-of-the-art of fair-AI methods and resources, and the main policies on bias in AI, with the aim of providing such a bird’s-eye guidance for both researchers and practitioners. The second objective of the paper is to contribute to the policy advice and best practices state-of-the-art by leveraging from the results of the NoBIAS research project. We present and discuss a few relevant topics organized around the NoBIAS architecture, which is made up of a Legal Layer, focusing on the European Union context, and a Bias Management Layer, focusing on understanding, mitigating, and accounting for bias.

Organisationseinheit(en)

Institut für Rechtsinformatik (IRI)

Externe Organisation(en)

Scuola Normale Superiore di Pisa
University of Pisa
University of Southampton
Center For Research And Technology - Hellas
Freie Universität Berlin (FU Berlin)
Freie Universität Bozen
Alpen-Adria-Universitat Klagenfurt (AAU)
GESIS - Leibniz-Institut für Sozialwissenschaften
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
The Open University
KU Leuven
SCHUFA Holding AG

Typ

Artikel

Journal

Ethics and information technology

Band

26

Anzahl der Seiten

26

ISSN

1388-1957

Publikationsdatum

06.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Angewandte Informatik, Bibliotheks- und Informationswissenschaften

Elektronische Version(en)

https://doi.org/10.1007/s10676-024-09746-w (Zugang: Offen)