Adversarial Attacks and AI Robustness

This chapter explores the intricacies of adversarial attacks on AI models, providing real-world examples that highlight the vulnerabilities these models face, particularly in ethical contexts. The discussion emphasizes the significance of adversarial training to enhance model robustness and the challenges companies face regarding accountability and bias audits. Additionally, it touches on the importance of understanding AI technologies thoroughly to ensure optimal performance, especially in critical sectors like healthcare and law.