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 |
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Start Time |
End |
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
|
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
|
2:30 PM |
2:40 PM |
BREAK (10 minutes) |
|
2:40 PM |
3:00 PM |
AI RMF Function Breakdown |
NIST AI RMF Team members:
|
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:
|
|
4:00 PM |
Closing Summary + Adjourn
|
Elham Tabassi, NIST |
Day 2 – Wednesday, October 19, 2022 |
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Start Time |
End |
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
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Moderator: Reva Schwartz, NIST
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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
|
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
|
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
|
3:20 PM |
3:40 PM |
Wrap-Up and Next Steps |
Elham Tabassi, NIST
|
|
3:40 PM |
Adjourn |
Elham Tabassi, NIST |