OTTRS Speaker Series: Understanding AI as Socio-Technical Systems ft. Dr. Reva Schwartz
Event Start Date:
Friday, November 18, 2022
- 12:00 pm
Event End Date:
Friday, November 18, 2022 - 1:00 pm
Location: Virtual EST, Registration Required
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Friday, November 18, 2022 12:00 pm
Friday, November 18, 2022 1:00 pm
America/New York
OTTRS Speaker Series: Understanding AI as Socio-Technical Systems ft. Dr. Reva Schwartz
Join us for a virtual talk and discussion, organized by the OTTRS research group. Open to the public. No cost to attend, registration required.
Abstract: The rise of automated decision systems has helped increase awareness about the risks that come from artificial intelligence. To fully tackle these risks, and identify practice improvements, it is important to recognize that AI systems are socio-technical in nature. This perspective requires a multi-disciplinary approach, strong governance, and actively broad engagement with stakeholders. I will discuss each of these factors, and how NIST’s AI Risk Management Framework seeks to operationalize this perspective.
Bio: Reva Schwartz is a research scientist in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST). She serves as Principal Investigator on Bias in Artificial Intelligence for NIST’s Trustworthy and Responsible AI program. Her research focuses on the role of context in human language and behavior, the nature of subject matter expertise and expert judgment in socio-technical systems, and the role of gatekeepers within institutions. She has advised federal agencies about how experts interact with automation to make sense of information in high-stakes settings. Reva received her MA from the University of Florida in acoustics and socio-phonetics, and her BA in political science from Kent State University. Her background includes a forensic science posting for almost 15 years at the United States Secret Service, advising forensic science practice at NIST, a temporary duty assignment at the National Security Agency, and adjunct researcher at the Johns Hopkins University Human Language Technology Center of Excellence.
Virtual EST, Registration Required
Join us for a virtual talk and discussion, organized by the OTTRS research group. Open to the public. No cost to attend, registration required.
Abstract: The rise of automated decision systems has helped increase awareness about the risks that come from artificial intelligence. To fully tackle these risks, and identify practice improvements, it is important to recognize that AI systems are socio-technical in nature. This perspective requires a multi-disciplinary approach, strong governance, and actively broad engagement with stakeholders. I will discuss each of these factors, and how NIST’s AI Risk Management Framework seeks to operationalize this perspective.
Bio: Reva Schwartz is a research scientist in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST). She serves as Principal Investigator on Bias in Artificial Intelligence for NIST’s Trustworthy and Responsible AI program. Her research focuses on the role of context in human language and behavior, the nature of subject matter expertise and expert judgment in socio-technical systems, and the role of gatekeepers within institutions. She has advised federal agencies about how experts interact with automation to make sense of information in high-stakes settings. Reva received her MA from the University of Florida in acoustics and socio-phonetics, and her BA in political science from Kent State University. Her background includes a forensic science posting for almost 15 years at the United States Secret Service, advising forensic science practice at NIST, a temporary duty assignment at the National Security Agency, and adjunct researcher at the Johns Hopkins University Human Language Technology Center of Excellence.
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