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 European Union law, many open questions remain. Whereas
algorithmic fairness aims to mitigate structural inequalities at the 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 concepts 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.

AI Act 试图在 AI 模型的设计阶段，将非歧视责任与算法公平两个概念联系起来，以缓解结构性的不平等问题，并提出了对于偏见检测和偏见修正的实际应用和技术要求方面的建议。