Safeguarding AI Agents: Developing and Analyzing Safety Architectures

Understand

AI agents, specifically powered by large language models, have demonstrated exceptional capabilities in various applications where precision and efficacy are necessary.

• However, these agents come with inherent risks, including the potential for unsafe or biased actions, vulnerability to adversarial attacks, lack of transparency, and tendency to generate hallucinations.
• As AI agents become more prevalent in critical sectors of the industry, the implementation of effective safety protocols becomes increasingly important.
• This paper addresses the critical need for safety measures in AI systems, especially ones that collaborate with human teams.