As AI becomes increasingly integrated into business operations, managing its risks is more important than ever—especially for non-technical professionals who oversee projects, strategy, or compliance.

In this episode, we’ll explore how business leaders, project managers, and other non-developers can implement and oversee AI guardrails to ensure the safe, ethical, and effective use of AI in their organizations.

We’ll cover the key risks associated with AI systems, particularly large language models (LLMs), including bias, privacy concerns, and misinformation. You’ll also get a practical, non-technical guide to understanding guardrails—what they are and how they can mitigate these risks.

We’ll end the episode with a demo of how to implement guardrails in AWS Bedrock, without requiring deep technical expertise.