  The topic of fairness in AI, as debated in the FATE (Fairness,
Accountability, Transparency, and Ethics in AI) communities, has sparked
meaningful discussions in the past years. However, from a legal perspective,
particularly from the perspective of European Union law, many open questions
remain. Whereas algorithmic fairness aims to mitigate structural inequalities
at design-level, European non-discrimination law is tailored to individual
cases of discrimination after an AI model has been deployed. The AI Act might
present a tremendous step towards bridging these two approaches by shifting
non-discrimination responsibilities into the design stage of AI models. Based
on an integrative reading of the AI Act, we comment on legal as well as
technical enforcement problems and propose practical implications on bias
detection and bias correction in order to specify and comply with specific
technical requirements.
