The paper discusses algorithmic fairness by focusing on non-discrimination and a few important laws in the European Union (EU). In addition to the EU laws addressing discrimination explicitly, the discussion is based on the EU's recently enacted regulation for artificial intelligence (AI) and the older General Data Protection Regulation (GDPR). Through theoretical case analysis, on one hand, the paper demonstrates that correcting discriminatory biases in AI systems can be legally done under the EU regulations. On the other hand, the cases also illustrate some practical scenarios from which legal non-compliance may follow. With these cases and the accompanying discussion, the paper contributes to the algorithmic fairness research with a few legal insights, enlarging and strengthening also the growing research domain of compliance in software engineering.

翻译：本文聚焦于非歧视原则及欧盟若干重要法律，探讨算法公平性问题。除明确针对歧视问题的欧盟法律外，讨论还基于欧盟近期颁布的人工智能法规及较早的《通用数据保护条例》。通过理论案例分析，本文一方面论证了在欧盟法规框架下纠正人工智能系统中的歧视性偏差具有法律可行性；另一方面，案例也揭示了实践中可能导致违法行为的若干场景。借助这些案例及相关讨论，本文从法律视角为算法公平性研究提供了若干见解，同时拓展并强化了软件工程领域日益增长的合规性研究范畴。