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Human and Organizational Factors in AI Risk Management: A Workshop

Completed

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Effectively incorporating human insight and oversight is critical to implementing artificial intelligence systems. However, the use of AI tools in real-world environments introduces new challenges.

Our recent workshop series explored the latest thinking and best practices on human and organizational factors in deploying AI technologies. Our new proceedings summarizes these discussions, with a focus on ways to broaden stakeholder participation in the development of AI tools; ways to improve evaluation, testing, and oversight; and the interplay between AI and organizational cultures. This work complements the recently published "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST).

Description

The National Academies of Sciences, Engineering, and Medicine will organize a workshop to identify and explore approaches to addressing human and organizational risks in AI systems. The emphasis will be on approaches that could be included in a more detailed guidance document complementing the recently issued "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST). Areas of interest in the context of the NIST framework include human insights about AI-produced output and human oversight of AI systems and their operation in real-world environments.
A planning committee will be appointed to organize the workshop. The workshop will take the form of a series of sessions spaced over a couple of months in order to maximize opportunities for participation and allow time for participants to reflect on prior discussions. A proceedings in brief summarizing highlights of discussions across the sessions, will be prepared by a rapporteur (selected by the Academies and not a member of the planning committee).

Collaborators

Committee

Co-Chair

Co-Chair

Member

Member

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Member

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Sponsors

National Institute of Standards and Technology

Other, Federal

Staff

Tho Nguyen

Lead

ThoNguyen@nas.edu

Nneka Udeagbala

Lead

NUdeagbala@nas.edu

Shenae Bradley

SBradley@nas.edu

Emanuel Robinson

AERobinson@nas.edu

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