Discrimination, intelligence artificielle et decisions algorithmiques
Frederik Zuiderveen Borgesius

TL;DR
This paper discusses the risks of bias and discrimination in AI systems, emphasizing their societal impact and the importance of addressing these challenges to ensure fair and equitable algorithmic decision-making.
Contribution
It provides an analysis of discrimination risks associated with AI and algorithmic decisions, highlighting the societal implications and the need for regulatory measures.
Findings
AI can embed and perpetuate bias and discrimination
Algorithmic decision-making impacts democratic society
Regulatory frameworks are needed to mitigate risks
Abstract
Artificial intelligence (AI) has a huge impact on our personal lives and also on our democratic society as a whole. While AI offers vast opportunities for the benefit of people, its potential to embed and perpetuate bias and discrimination remains one of the most pressing challenges deriving from its increasing use. This new study, which was prepared by Prof. Frederik Zuiderveen Borgesius for the Anti-discrimination Department of the Council of Europe, elaborates on the risks of discrimination caused by algorithmic decision-making and other types of artificial intelligence (AI).
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Taxonomy
TopicsEthics and Social Impacts of AI · Discrimination and Equality Law · Digital Economy and Work Transformation
