Bias and Ethics in AI Systems

This chapter explores the sources of inherent biases in AI systems, arising from large datasets that reflect societal prejudices. It also addresses the implications of 'hallucinations' in AI outputs and the critical ethical concerns posed by automation bias, emphasizing the need for robust risk management strategies in AI deployment.