Evolving Ethics in AI: Fairness and Intersectionality

This chapter examines the development of AI ethics and fairness, particularly reflecting on key milestones from 2019. It stresses the importance of addressing societal issues rather than just technical solutions while advocating for intersectional testing to ensure model performance respects diverse subgroups. The conversation also highlights the need for inclusive perspectives in ethical discussions, linking fairness with broader socio-technical contexts and critical race theory.