As AI becomes more embedded in real-world systems, it’s not just about what it can do — it’s about how we ensure it does it responsibly. In this session, we’ll explore the critical role of AI guardrails in maintaining safety, fairness, and compliance, and how NVIDIA’s NeMo framework can help teams implement them effectively.
We’ll break down what guardrails are, why they’re essential, and how they prevent issues like bias, misinformation, and security breaches. You’ll also see a live walkthrough of how to implement these guardrails using open-source tools, along with actionable best practices to take back to your organization.
What We Will Cover:
- Understand why responsible AI is essential in today’s high-impact applications — and how guardrails help keep AI aligned with ethical and legal standards.
- Learn about key guardrail types: topical, safety, and security — and how they support system integrity and user trust.
- See a step-by-step demo of building and applying AI guardrails using NVIDIA’s NeMo framework.
- Explore best practices for designing, deploying, and maintaining effective guardrails in generative AI and LLMs.
- Identify common challenges and pitfalls when implementing AI safeguards — and how to avoid them.
- Discuss the importance of continuous monitoring and adaptation as AI systems evolve.
- Interactive Element: Watch a live demonstration of guardrail implementation in action — or follow along to apply guardrails to your own models using NVIDIA NeMo.
