Navigating Bias and Censorship in AI

This chapter explores the complex issues of bias and censorship in large language models like ChatGPT, examining how these AI systems can portray individuals differently based on perceived biases. It highlights the influence of training data and sources such as Wikipedia on AI responses, particularly regarding public figures. The discussion emphasizes the need for diverse datasets to ensure fair representation and the implications of AI advancements on communication and public discourse.