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Agenda

Agenda (Printable PDF)

Note: All times EDT (UTC-4)  A

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Welcome, Workshop Goals and Logistics
Speaker(s)
  • Elham Tabassi, National Institute of Standards and Technology
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Opening Remarks
Speaker(s)
  • Alondra Nelson, Office of Science and Technology Policy
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Panel 1: AI Risk Framing and AI RMF Audience

Discussion on how to provide a structured, yet flexible approach to framing AI risk--both enterprise and societal, and the intended audience for the AI RMF.

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Moderator(s)
  • Hodan Omaar, Center for Data Innovation, Information Technology & Innovation Foundation
Speaker(s)
  • Tara Hairston, Alliance for Automotive Innovation
  • Richard Mallah, Future of Life Institute
  • Ufuk Topcu, University of Texas at Austin
  • Christian Troncoso, BSA: The Software Alliance
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Break
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Panel 2: AI RMF Function Map

Discussion about the AI RMF Map Function (establish the context and apply the AI RMF taxonomy to frame risks related to an AI system).

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Moderator(s)
  • Catherine Aiken, Center for Security and Emerging Technology
Speaker(s)
  • Christine Custis, Partnership on AI
  • Rayid Ghani, Carnegie Mellon University
  • Doug Johnson, Consumer Technology Association
  • Marilyn Zigmund Luke, America’s Health Insurance Plans
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Break
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Panel 3: AI RMF Function Measure

Discussion about the AI RMF Measure Function (analysis, quantitative or qualitative assessment, and track risks related to an AI system and its impact).

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Moderator(s)
  • Navrina Singh, Credo AI
Speaker(s)
  • Jack Clark, Anthropic
  • David Danks, University of California, San Diego
  • Jane Pinelis, The Joint Artificial Intelligence Center, Johns Hopkins University Applied Physics Lab
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Break
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Panel 4: AI RMF Function Manage

Discussion about the AI RMF Manage Function (addressing the risks that have been mapped and measured to maximize benefits and minimize adverse impacts).

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Moderator(s)
  • Brittany Smith, Data & Society
Speaker(s)
  • Jiahao Chen, Parity AI
  • Vincent Southerland, New York University School of Law
  • Grace Yee, Adobe
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Adjourn
Speaker(s)
  • Jenilee Keefe Singer, National Institute of Standards and Technology
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Welcome
Speaker(s)
  • Elham Tabassi, National Institute of Standards and Technology
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Panel 5: AI RMF Function Govern

Discussion about AI RMF Govern Function (cultivate and implement a culture of risk management within organizations developing, deploying, or acquiring AI systems).

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Moderator(s)
  • Patrick Hall, bnh.ai
Speaker(s)
  • Natasha Crampton, Microsoft
  • Agus Sudjianto, Wells Fargo
  • Teresa Tung, Accenture
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Break
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Panel 6: Alignment of AI RMF with Standards and Frameworks

Discussion about international standards and framework development activities and how they can be leveraged for the AI RMF.

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Moderator(s)
  • Stephanie Ifayemi, Department for Digital, Culture, Media and Sport, United Kingdom
Speaker(s)
  • Heather Benko, American National Standards Institute
  • Sebastian Hallensleben, VDE e. V.
  • Jeanna Matthews, Clarkson University
  • Roy Sugimura, National Institute of Advanced Industrial Science and Technology, Japan
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Break
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Panel 7: International Perspectives

Discussion about general trends and different approaches to AI governance and risk management in international contexts.

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Moderator(s)
  • Mark Latonero, National Institute of Standards and Technology
Speaker(s)
  • Olufemi Adeluyi, Ministery of Communications, Nigeria
  • Gry Hasselbalch, InTouchAI.EU
  • Aurelie Jaquet, Standards Australia
  • Karine Perset,, Organisation for Economic Cooperation and Development
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Break
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Panel 8: Closing and Next Steps

Workshop Synthesis: Bringing it all together.

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Moderator(s)
  • Elham Tabassi, National Institute of Standards and Technology
Speaker(s)
  • Catherine Aiken, Center for Security and Emerging Technology
  • Patrick Hall, bnh.ai
  • Mark Latonero, National Institute of Standards and Technology
  • Hodan Omaar, Center for Data Innovation, Information Technology & Innovation Foundation
  • Navrina Singh, Credo AI
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Introduction
Speaker(s)
  • Reva Schwartz, National Institute of Standards and Technology
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Panel 9: Field report – How does AI Bias really impact healthcare?

Discussion about the human costs of AI bias in healthcare.

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Moderator(s)
  • Miriam Vogel, Equal AI
Speaker(s)
  • Aneesh Chopra, Care Journey
  • David Vawdrey, Geisinger
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Break
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Panel 10: Who and what gets counted? Contextual requirements for datasets

Discussion about contextual requirements for datasets used in AI.

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Moderator(s)
  • Katie Shilton, The University of Maryland
Speaker(s)
  • Susan Aaronson, George Washington University
  • Razvan Amironesei, Independent Scholar
  • Amandalynne Paullada, University of Washington
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Break
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Panel 11: Context is everything: Requirements for Test, Evaluation, Validation and Verification (TEVV)

Discussion about contextual requirements for TEVV in AI

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Moderator(s)
  • Apostol Vassilev, National Institute of Standards and Technology
Speaker(s)
  • Arvind Narayanan, Princeton University
  • Cathy O'Neil, ORCAA
  • Kush Varshney, IBM
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Break
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Panel 12: Design Approaches for AI: Keeping Human Values and Ethics at the Core of AI Design

Discussion about how design techniques can assist the development of AI systems that are more connected to human values and less likely to have harmful impacts.

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Moderator(s)
  • Kristen Greene, National Institute of Standards and Technology
Speaker(s)
  • Kathy Baxter, Salesforce
  • Batya Friedman, University of Washington
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Break
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Panel 13: Is a human in the loop the solution?

Discussion about the challenges of designing and evaluating expert-driven systems. 

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Moderator(s)
  • Jenn Wortman Vaughan, Microsoft Research
Speaker(s)
  • Krzysztof Gajos, Harvard University
  • Marzyeh Ghassemi, Massachusetts Institute of Technology
  • Ben Green, University of Michigan
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Adjourn
Speaker(s)
  • Lori Perine, National Institute of Standards and Technology, and The University of Maryland