Part 4: Building Safe and Secure AI – Security and Ethical Considerations

This part will cover everything you need to know about creating AI applications that are not only safe and secure but also built with a responsible AI-first mindset. We’ll look into the security risks associated with generative AI, including the dangers of deepfakes, and discuss strategies to counter these issues, such as Red Teaming. We’ll introduce the principles of Responsible AI, highlight the emerging start-up ecosystem in this field, and examine the current global regulations surrounding AI. Additionally, we’ll explore how organizations can best prepare for these regulatory environments.

This part contains the following chapters:

• Chapter 8, Security and Privacy Considerations for Generative AI: Building Safe and Secure LLMs
• Chapter 9, Responsible Development of AI Solutions: Building with Integrity and Care