Exploring Resilience and Security in AI Systems

Exploring the importance of resilience and security in AI systems, this chapter delves into strategies for handling cyber attacks, maintaining functionality during incidents, and safeguarding against threats like leaked model weights and vulnerabilities. It also addresses challenges in categorizing issues, such as prompt injection attacks blending security, alignment, and governance problems, and distinguishing between competence and alignment failures in AI models.