Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It -The Oxford Handbook of the Foundation and Regulation of Generative AI

‘This chapter examines these issues, categorizing problematic outputs into three legal categories: discriminatory content; harassment; and legally hard cases like unbalanced content, harmful stereotypes or misclassification. It argues for holding genAI providers and deployers liable for discriminatory outputs and highlights the inadequacy of traditional legal frameworks to address genAI-specific issues. The chapter suggests updating EU laws, including the AI Act, to mitigate biases in training and input data, mandating testing and auditing, and evolving legislation to enforce standards for bias mitigation and inclusivity as technology advances.’

Link: https://arxiv.org/abs/2407.10329