Building the NIST AI Risk Management Framework: Workshop #3

October 18-19, 2022 

AGENDA

Tuesday, October 18, 2022 

11:00 - 11:50 AM Welcome, Goals, and AI RMF Update 

Elham Tabassi, NIST 

11:50 AM -12:00 Noon BREAK (10 minutes)

12:00 - 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 - 1:30 PM BREAK (30 minutes)

1:30 - 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 

2:30-2:40 PM BREAK (10 minutes)
2:40-3:00 PM AI RMF Function Breakdown

NIST AI RMF Team members:

● Govern: Mark Latonero 

● Map: Reva Schwartz

● Measure: Mark Przybocki 

● Manage: Cherilyn Pascoe

3:00-4:00 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

Wednesday, October 19, 2022

11:00 - 11:10 AM Introduction and Welcome 

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 - 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 - 1:30 PM Lunch + Networking (30 Minutes)

1:30 - 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 - 2:30 PM BREAK (10 Minutes)

2:30 - 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 - 3:40 PM Wrap-Up and Next Steps 

Elham Tabassi, NIST 

3:40 PM Adjourn