Understanding and Applying Emerging AI Standards & Frameworks
With the release of NIST's AI Risk Management Framework 1.0 (AI RMF), we have been getting a lot of questions about how emerging standards and frameworks differ, where they're most applicable and how they can support your organizational goals.
We teamed up with Reva Schwartz and Elham Tabassi from National Institute of Standards and Technology (NIST) and Anneke Auer-Olvera from Standards Council of Canada (SCC) to talk about the goals and objectives of the NIST AI RMF, how emerging work like RAI Institute's conformity assessment scheme can support forthcoming regulation and certification of AI, and what is next for AI standards development.
Check out our blog post the NIST AI RMF (1.0) with Reva Schwartz for more information.
Meet Our Experts
In this webinar, Ashley Casovan moderates the conversation with Elham Tabassi, Reva Schwartz and Anneke Aur-Olvera.
Associate Director for Emerging Technologies at the National Institute of Standards (NIST)
Research Scientist- Information Technology Laboratory at the National Institute of Standards (NIST)
Director of Programs & Operations, Strategy and Stakeholder Engagement at the Standards Council of Canada (SCC)