Navigating Bias and Accountability in AI

This chapter explores the intricate biases in generative AI and their roots in human influences, advocating for transparency and careful data selection in AI development. It discusses the challenges of misinformation, the importance of regulatory measures, and the necessity for industry stakeholders to foster trust through accountability. Furthermore, the chapter highlights the critical need for diversity and fair representation within the AI workforce to ensure ethical advancements in technology.