AI Governance Lessons from Red Teaming AI Use Cases

AI red teaming, a practice borrowed from cybersecurity, is a powerful tool for enabling effective AI governance. By simulating adversarial scenarios, red teaming helps proactively uncover unintended consequences which are new and unique (e.g., prompt injections, toxicity), ensuring that AI systems are developed and deployed responsibly. Attendees will hear from AI red teaming practitioners on lessons learned from performing AI red teaming on 50+ AI use cases, challenges in performing AI red teaming, and how to setup a scalable AI red teaming program. Join us to explore real-world case studies and best practices for leveraging red teaming to strengthen AI governance and build resilient AI solutions.

What you will learn:

• How red teaming can be effectively used as a tool to identify and mitigate risks in AI systems.
• Practical lessons that companies can apply to their AI governance programs.