Summary: This article explores the intersection of safety, security, and privacy in the context of Generative AI, emphasizing the importance of managing risks associated with these overlapping categories. It discusses the critical areas of safety, security vulnerabilities, and privacy concerns, along with frameworks for responsible AI usage.

Threat Actor: (bad actors) | bad actors
Victim: (AI users) | AI users

Key Point :

• Safety encompasses guidelines for AI-human interactions, focusing on bias, misinformation, and societal impact.
• Security involves protecting AI systems from unauthorized access and vulnerabilities, including prompt security measures.
• Privacy concerns revolve around data collection and usage, highlighting the risks of behavioral tracking and third-party data transfers.
• The NIST AI Risk Management Framework provides a structured approach to managing AI risks across safety, security, and privacy.