Board on Human-Systems Integration

Webinar

The Hauser Policy Impact Fund Webinar Series: Navigating the Era of Artificial Intelligence Part 2: The Role of Social Sciences

July 25, 2024

2:00 PM - 3:30 PM (EDT)

Past

About

This session will expand the discussions from part 1 of this webinar series to consider an array of topics where the social and behavioral sciences are critical to understanding the societal impacts of artificial intelligence. Each panelist brings a unique perspective on AI as it pertains to specific use cases or priorities, and the emergent discussion will address large-scale societal questions about the integration of AI. Discussions will center around the role of social sciences in understanding AI, as well as the role of policymakers at all levels in addressing AI's potential benefits and harms.

Panelists include:

Dr. Emanuel Robinson, NASEM – director of the Board on Human-Systems Integration (moderator)

Dr. Alex Chohlas-Wood, Harvard University

Dr. Nicholas Christakis, Yale University

Dr. Shuchi Grover, Looking Glass Ventures

Dr. H.V. Jagadish, University of Michigan

Dr. Michael Muller, IBM

Contact

Austin Scheetz

(202) 334-3119
ascheetz@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Workshop

Human and Organizational Factors in AI Risk Management: Workshop 4 (Designing Paths Forward in AI Risk Management)

July 2, 2024

9:30 AM - 5:30 PM (EDT)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Agenda

Download the Agenda

About

This series of workshop sessions will identify and investigate human and organizational risk factors in AI systems. The hope of this work is to build off of the recently published "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST) with a deeper exploration into human factors of AI risks.

Session 4, a reflection on the 3 sessions, will be held in person on July 2nd. The members of the planning committee will discuss findings and thoughts regarding the factors that were investigated.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Location

Keck Center

500 5th St NW

Washington DC 20001, USA

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Workshop

Human and Organizational Factors in AI Risk Management: Workshop 3 (Safety in Context: Culture, Processes, and Frameworks)

June 26, 2024

10:30 AM - 4:30 PM (EDT)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Agenda

Download the Agenda

About

This series of workshop sessions will identify and investigate human and organizational risk factors in AI systems. The hope of this work is to build off of the recently published "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST) with a deeper exploration into human factors of AI risks.

“Safety in Context: Culture, Processes, and Frameworks” will be hosted virtually on June 26th starting at 10:30 am ET. The speakers will discuss defining who might be impacted by AI tools, setting meaningful metrics when designing tools, and existing organizational safety frameworks in an array of industries.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Workshop

Human and Organizational Factors in AI Risk Management: Workshop 2 (Evaluation, Testing, and Oversight)

June 20, 2024

10:30 AM - 4:00 PM (EDT)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Agenda

Download the Agenda

About

This series of workshop sessions will identify and investigate human and organizational risk factors in AI systems. The hope of this work is to build off of the recently published "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST) with a deeper exploration into human factors of AI risks.

“Evaluation, Testing, and Oversight” will be hosted virtually on June 20th starting at 10:30 am ET. The speakers will discuss how AI tool evaluations might be scoped, evaluation methods and mechanisms, and the governance of evaluations.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Workshop

Human and Organizational Factors in AI Risk Management: Workshop 1 (Broadening Stakeholder Participation)

June 11, 2024

10:30 AM - 4:30 PM (EDT)

Past

Discussion

This discussion information is being collected via Slido. Slido is not affiliated in any way with, or endorsed by, the National Academies of Sciences, Engineering, and Medicine, and your submission via the Slido website is subject to Slido’s privacy and terms of use.

Agenda

Download the Agenda

About

This series of workshop sessions will identify and investigate human and organizational risk factors in AI systems. The hope of this work is to build off of the recently published "AI Risk Management Framework" from the National Institute of Standards and Technology (NIST) with a deeper exploration into human factors of AI risks.

“Broadening Stakeholder Participation” will be hosted virtually on June 11th starting at 10:30 am ET. The speakers will discuss a variety of stakeholders and how they might be meaningfully engaged with. We will highlight identifying and engaging with diverse stakeholders effectively, addressing how work changes in light of AI and the work that goes into developing AI, and building long-term relationships, trust, and accountability.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Webinar Closed

Societal Experts Action Network & Board on Human-Systems Integration - AI Peer-to-Peer Series: Balancing AI Benefits and Risks

May 29, 2024

1:00 PM - 2:00 PM (EDT)

Past

About

The growth of artificial intelligence (AI) technologies/systems has significant implications for state and local decision-makers, who need to consider their roles as regulators and users of this technology. For state and local decision-makers, embracing this innovation comes with the responsibility to balance ethical considerations, public trust, and the equitable distribution of benefits. Many state legislatures and local authorities have started introducing various AI bills and policies, ranging from exploring ways that AI can enhance constituent services to some temporarily banning its use. SEAN held a webinar on April 9, 2024, which was highly attended and generated many questions for the speakers, showing the need for additional information and engagement for decision makers in this rapidly changing AI environment.

Balancing benefits and risks of AI for state and local decision makers
- Creating AI policies for both internal and external use
- Providing short-term v. long-term AI policies
- What are the challenges and opportunities for policy creation
- Example bills or policies
- Ethical considerations

Speakers

(Moderator) Nathan McNeese, Clemson University

Saiph Savage, Northeastern University

Jim Loter, City of Seattle

Organizing Project

Societal Experts Action Network & Board on Human-Systems Integration - AI Peer-to-Peer Series

Contact

Annie DiRenzo

(202) 334-2978
sean@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 8)

May 28, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to plan for upcoming workshops.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Webinar

The Hauser Policy Impact Fund Webinar Series: Navigating the Era of Artificial Intelligence Part 1: Achieving human-AI harmony

May 23, 2024

1:00 PM - 2:30 PM (EDT)

Past

About

This two-part webinar series will explore DBASSE’s expertise in artificial intelligence and highlight the value of social and behavioral science perspectives in asking and answering questions about AI. The first webinar will be centered around the 2022 report Human-AI Teaming: State-of-the-Art and Research Needs, exploring in more depth how to best integrate AI into teams to enhance productivity. The second webinar will use the topics covered by various DBASSE boards as lenses through which to consider AI from a broader societal perspective. Both webinars will emphasize the importance of social and behavioral sciences in guiding AI policy. The webinars will be a showcase of DBASSE’s unique expertise and value in AI research, while also highlighting important areas for future work.

Panelist Include:
Dr. Cleotilde Gonzalez (Moderator) - Research Professor of Decision Science, Carnegie Mellon University
Dr. Erin Chiou – Associate Professor of Human Systems Engineering, Arizona State University
Dr. Nathan McNeese – McQueen Quattlebaum Endowed Associate Professor of Human-Center Computing, Clemson University
Dr. Iyad Rahwan – Director, Center for Humans & Machines, Max Planck Institute for Human Development
Dr. Heng Xu – Professor of Management, University of Florida

Contact

Austin Scheetz

(202) 334-3119
ascheetz@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 7)

May 14, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to plan for upcoming workshops.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 6)

April 30, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to plan for the upcoming workshops.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 5)

April 16, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to plan for upcoming workshops.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 4)

April 2, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to prepare for the workshop.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Webinar

AI for the Rest of Us: How Equitable Is the Future of Work for Front-Line Workers?

April 2, 2024

12:00 PM - 1:00 PM (EDT)

Past

Agenda

Download the Agenda

Materials

About

AI-enabled technology is reshaping the workplace, but the impact of technology is often discussed for those in the office, and not as often for those on the front-line (e.g., retail, healthcare, construction, food services). This webinar will discuss how front-line worker’s jobs will be reshaped, and the research needed to enhance frontline worker's understanding of AI as a workplace partner.

The webinar includes an outstanding panel of experts including Dr. Beth Schwartz, American Psychological Association, Dr. Mindy Shoss, University of Central Florida, and Dr. John Lee, University of Wisconsin. Please join us on Tuesday, April 2nd, from 12:00-1:00 PM ET.

This event is sponsored by the National Academies’ Board on Human-Systems Integration (BOHSI), in conjunction with the American Psychological Association (APA), the Human Factors and Ergonomics Society (HFES), and the Society for Human Resource Management (SHRM).

Contact

Joshua Lang

(202) 334-2042
JLang@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Meeting Closed

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 3)

March 19, 2024

12:30 PM - 2:00 PM (EDT)

Past

About

The committee will continue to plan for the upcoming workshop.

Organizing Project

Human and Organizational Factors in AI Risk Management: A Workshop

Contact

Nneka Udeagbala

nudeagbala@nas.edu

Disclaimer

It is essential to the National Academies mission of providing evidence-based advice that participants in any of our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. The statements and presentations during our meetings or events are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academy of Sciences, which is a non-partisan, tax exempt organization that includes under its Charter the National Academy of Engineering and National Academy of Medicine, and that operates the National Research Council.

Log In

Sign in to access your saved publications, downloads, and email preferences.

Former MyNAP users: You'll need to reset your password on your first login to MyAcademies. Click "Forgot password" below to receive a reset link via email. Having trouble? Visit our FAQ page to contact support.

Members of the National Academy of Sciences, National Academy of Engineering, or National Academy of Medicine should log in through their respective Academy portals.

Email (required)
Password (required)

Don't have an account?

Register

Email (required)
New password (required)
Retype password (required) Password must be at least 8 characters
I accept the terms of use
terms of use

Thank You

Thank you for creating a MyAcademies account!

Enjoy free access to thousands of National Academies' publications, a 10% discount off every purchase, and build your personal library.

Forgot Password

Enter the email address for your MyAcademies (formerly MyNAP) account to receive password reset instructions.

Reset Requested

We sent password reset instructions to your email . Follow the link in that email to create a new password. Didn't receive it? Check your spam folder or contact us for assistance.

Reset Password

New password (required)
Retype password (required) Password must be at least 8 characters

Reset Password

Your password has been reset.

Log In

Verify email

Verify Your Email Address

We sent a verification link to your email. Please check your inbox (and spam folder) and follow the link to verify your email address. If you did not receive the email, you can request a new verification link below

Subscribe

First Name
Last Name
Email (required)
I agree to receive emails from the National Academies (required)

We respect your privacy and will never share your information.

My Academies

Board on Human-Systems Integration

The Hauser Policy Impact Fund Webinar Series: Navigating the Era of Artificial Intelligence Part 2: The Role of Social Sciences

Human and Organizational Factors in AI Risk Management: Workshop 4 (Designing Paths Forward in AI Risk Management)

Human and Organizational Factors in AI Risk Management: Workshop 3 (Safety in Context: Culture, Processes, and Frameworks)

Human and Organizational Factors in AI Risk Management: Workshop 2 (Evaluation, Testing, and Oversight)

Human and Organizational Factors in AI Risk Management: Workshop 1 (Broadening Stakeholder Participation)

Societal Experts Action Network & Board on Human-Systems Integration - AI Peer-to-Peer Series: Balancing AI Benefits and Risks

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 8)

The Hauser Policy Impact Fund Webinar Series: Navigating the Era of Artificial Intelligence Part 1: Achieving human-AI harmony

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 7)

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 6)

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 5)

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 4)

AI for the Rest of Us: How Equitable Is the Future of Work for Front-Line Workers?

Human and Organizational Factors in AI Risk Management: A Workshop (Meeting 3)

Communities, Climate Change, and Health Equity Workshop Series: Exploring flood adaptation strategies to support health equity - Workshop