Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

EVENTS

Building the NIST AI Risk Management Framework: Workshop #3

With considerable help from stakeholders, NIST is making solid progress in developing the voluntary AI Risk Management Framework. Now, help us take the next step by joining us on Tuesday and Wednesday, October 18-19, 2022, for our third and final virtual workshop in the Building the NIST AI Risk Management Framework (AI RMF) series.

During this capstone workshop, the NIST team will be joined by leading AI experts to explore the community’s feedback to date and discuss next steps for the Framework.

Workshop participants will be encouraged to ask questions about the latest draft of the RMF to be released in August, provide feedback about the forthcoming draft AI RMF Playbook, and continue the discussion in the interactive online forum.

The series has been a part of NIST’s efforts to foster an open, transparent, and collaborative process as it creates a Framework to manage risks to individuals, communities, organizations, and society associated with AI.

Suggested workshop participants include those from government, industry, civil society, and academia with an understanding of AI concepts and risk issues and approaches. Individuals and advocates from impacted communities are also encouraged to attend.

For more information about the Framework, visit the NIST AI RMF website

Stay tuned for further announcements by subscribing to receive email notifications about NIST’s AI activities here

Workshop Materials

Agenda (PDF)

Day 1 – Tuesday, October 18, 2022
Start Time	End Time	Session Name & Description	Speaker(s)
11:00 AM	11:50 AM	Welcome, Goals, and AI RMF Update	Elham Tabassi, NIST
11:50 AM	12:00 Noon	BREAK
12:00 Noon	1:00 PM	How Does the AI RMF Fit In with Other AI Risk Management Approaches? This panel will explore how the AI RMF fits in relation to other approaches to AI risk management including international standards, industry best practices, and national strategies.	Mark Latonero, NIST Nozha Boujemaa, IKEA Retail (Ingka Group) Greg Cannon, Amazon Web Services Sri Krishnamurthy, QuantUniversity Lee Wan Sie, Infocomm Media Development Authority, Singapore Anneke Olvera, Standards Council of Canada
1:00 PM	1:30 PM	BREAK (30 minutes)
1:30 PM	2:30 PM	Exactly What Is an AI RMF Profile? Draft 2 of the AI RMF and the companion Playbook place heavy emphasis on the value of AI RMF Profiles. This session will discuss the potential process and approaches for AI RMF profiles for those that use the Framework.	Cherilyn Pascoe, NIST Anthony Barrett, University of California, Berkeley Phillip Collett, American Express Carlos Ignacio Gutierrez, Future of Life Institute Snigdha Sharma, National Fair Housing Alliance
2:30 PM	2:40 PM	BREAK (10 minutes)
2:40 PM	3:00 PM	AI RMF Function Breakdown	NIST AI RMF Team members: Govern: Mark Latonero Map: Reva Schwartz Measure: Mark Przybocki Manage: Cherilyn Pascoe
3:00 PM	4:00 PM	Moderated Discussion: What We Heard and What We Hope to Hear A conversation with the NIST AI RMF team	Courtney Lang, Information Technology Industry Council NIST AI RMF Team members: Elham Tabassi Mark Latonero Cherilyn Pascoe Lori Perine Mark Przybocki Reva Schwartz
	4:00 PM	Closing Summary + Adjourn	Elham Tabassi, NIST

Day 2 – Wednesday, October 19, 2022
Start Time	End Time	Session Name & Description	Speaker(s)
11:00 AM	11:10 AM	Introduction and Welcome	Elham Tabassi, NIST
11:10 AM	12:00 Noon	Mapping the Path from Current to Future AI Risk Management Practice In this panel we will learn how to get started with the AI RMF, and discuss how organizations can effectively implement the AI RMF map function through socio-technical approaches	Moderator: Reva Schwartz, NIST Stevie Bergman, DeepMind Sina Fazelpour, Northeastern University and NIST AI Visiting Fellow Bogdana Rakova, Mozilla Foundation Harini Suresh, MIT
12:00 Noon	12:10 PM	BREAK (10 minutes)
12:10 PM	1:00 PM	What Does Good Governance for AI Risk Management Look Like? This panel will discuss how organizations develop culture and practice to govern AI internally. There is much we can learn from how other fields and industries track, manage and avoid risks through organizational approaches for improving governance.	Moderator: Kathy Baxter, Salesforce and NIST AI Visiting Fellow Rumman Chowdhury, Twitter Jen Gennai, Google Sakshi Jain, LinkedIn David Marcos, Microsoft
1:00 PM	1:30 PM	Lunch + Networking (30 Minutes)
1:30 PM	2:20 PM	How to Measure AI Risk across the AI Lifecycle This panel will discuss approaches for measuring trustworthiness and AI risks from a socio-technical perspective.	Jeanna Matthews, Clarkson University and NIST Faculty Fellow Jack Clark, Anthropic David Danks, UC SanDiego Ian Eisenberg, Credo AI Nazneen Rajani, HuggingFace
2:20 PM	2:30 PM	BREAK (10 Minutes)
2:30 PM	3:20 PM	Managing AI Risks This panel will discuss practical methods and processes that practitioners are engaging (actual or prospective) to manage AI risks along the lifecycle, and where there are opportunities for the AI RMF to enhance or fill-in the gaps.	Daniel Castro, Information Technology and Innovation Foundation Veena Calambur, Workday Trey Causey, Indeed Ali Shah, Accenture Mona Sloane, NYU
3:20 PM	3:40 PM	Wrap-Up and Next Steps	Elham Tabassi, NIST
	3:40 PM	Adjourn	Elham Tabassi, NIST

workshop

October 18 - 19, 2022

Virtual

Registration has closed.

There is no registration fee to attend the workshop.

An email with links and instructions will be sent to registered attendees by 12 Noon EDT (UTC-4) on Monday, October 17, 2022.

For questions about the Framework, please contact:aiframework [at] nist.gov

Registration Contact

Terri Viezbicke

terri.viezbicke@nist.gov

(303) 497-4044

Organizations

Building the NIST AI Risk Management Framework: Workshop #2

Created July 22, 2022, Updated October 28, 2022