Gender equality and artificial intelligence in Europe. Addressing direct and indirect impacts of algorithms on gender-based discrimination

Fabian Lütz

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Discrimination and Equality Law Digitalization, Law, and Regulation Ethics and Social Impacts of AI

Abstract

Abstract This article assesses whether current European law sufficiently captures gender-based biases and algorithmic discrimination in the context of artificial intelligence (AI) and provides a short analysis of a draft EU legislative proposal, the Artificial Intelligence Act. To this end, current trends and uses of algorithms with potential impacts on gender will be analysed through the lens of direct and indirect impacts for gender equality law, highlighting the implications for European gender equality enforcement. This article concludes that legislative and accompanying policy measures are necessary to ensure an effective gender equality policy and to avoid algorithmic discrimination.

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References

2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints 2020Invisible Women Exposing Data Bias in a World Designed for Men 2018Artificial Unintelligence 2018Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law 2018Hello World: How to be Human in the Age of the Machine 2021Beyond the individual: governing AI’s societal harm 2009Profiles, Probabilities, and Stereotypes 2020Tuning EU equality law to algorithmic discrimination: Three pathways to resilience

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