News and Research articles on Bias

AI Act

Standardised bias? The role – and limits – of European standards bodies in the EU’s Artificial Intelligence Act

Peter Alexander Earls Davis, University of Copenhagen
Rebecca Schmidt, Oslo Metropolitan University (OsloMet)

PUBLISHED ON: 24 Jul 2025

Article 10 of the EU’s AI Act puts data governance at the heart of bias mitigation in high-risk AI systems but offers little guidance on implementation. Delegating these challenges to technical standardisation bodies raises both feasibility and legitimacy concerns, posing a significant test for the institutions now tasked with defining AI fairness in practice.

Volume 12, Issue 4

Navigating the AI frontier: European parliamentary insights on bias and regulation, preceding the AI Act

Allessia Chiappetta, York University
PUBLISHED ON: 5 Dec 2023 DOI: 10.14763/2023.4.1733

Follow along as Members of the European Parliament navigate bias and discrimination in AI and explore their perspectives on regulatory measures, shedding light on the complexities of their understanding and paving the path towards informed policy development.

KEYWORDS: Artificial intelligence, Bias, Algorithmic discrimination, Technology, Regulation of innovation
Volume 10, Issue 4

Bias does not equal bias: a socio-technical typology of bias in data-based algorithmic systems

Paola Lopez, University of Vienna
PUBLISHED ON: 7 Dec 2021 DOI: 10.14763/2021.4.1598

This paper introduces a socio-technical typology of bias in data-driven machine learning and artificial intelligence systems. It argues that a clear distinction must be made between different concepts of bias in such systems in order to analytically assess and politically critique these systems. By analysing the controversial Austrian “AMS algorithm” as a case study among other examples, this paper defines the following three types of bias: purely technical, socio-technical, and societal.

KEYWORDS: Artificial intelligence, Machine learning, Bias