An introduction to NIST’s AI Risk Management Framework

Description

Join us for the first webinar in a series organised by the AI standards Hub as part of our international collaboration with the US National Institute of Standards and Technology (NIST), on Trustworthy AI and the role of standards (including socio-technical and technical measurement standards) in promoting responsible AI. 

In this seminar NIST will introduce its AI Risk Management Framework (known as the RMF) to a UK and international audience and discuss potential key areas of collaboration between NIST and the AI Standards Hub. This will be followed by a Q&A and a preview of further seminars that will follow in this series. 

From this session you will learn: 

• How and why the RMF was developed and how it can help organisations manage AI risks. 
• How the RMF aligns to AI Standards.  
• Initial considerations on approaches to developing metrics for trustworthy AI characteristics, motivated by the socio-technical nature of AI systems.  

Hosted by: Sundeep Bhandari, Head of Digital Innovation at the National Physical Laboratory (NPL) on behalf of the AI Standards Hub 

Speakers will include: 

Reva Schwartz, Research Scientist/Principal Investigator for AI Bias at National Institute of Standards and Technology (NIST) 

Jesse Dunietz, Computer Scientist at National Institute of Standards and Technology (NIST) 

The discussion will be chaired by Prof Mark Levene, Principal Research Scientist at NPL.