Addressing Bias and Cybersecurity in LLMs

This chapter delves into the challenges posed by bias in large language models and outlines methods to identify and mitigate these biases, particularly in decision-making contexts like hiring. Additionally, it highlights the risks of prompt injection attacks, illustrating their potential impact and the importance of protective measures for AI systems.