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Artificial Intelligence at the US Depart...

Laseter, Timothy M...

Case

Artificial Intelligence at the US Department of Health and Human Services: The AI Impact Sprint

Laseter, Timothy M.; Sesia, Aldo

OM-1803 | Published October 3, 2024 | 11 pages Case

Collection: Darden School of Business

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Claudette Servant, chief information officer (CIO) at the US Department of Health and Human Services (HHS), has assembled a task force made up of stakeholders from across the agency, including people within the Office of the CIO and those from other departments, to explore ways to accelerate the progress of projects that leveraged AI. Along with Fabian Doubletree, the newly appointed chief AI officer of HHS, and the chief data officer, Nancy Pizzuto, she has identified three project areas as strategic opportunities: Personally Identifiable Information Detection, Cancer Moonshot, and Grants for the Administration for Strategic Preparedness and Response. After an initial kickoff session, the task force team members will have about three weeks to develop a set of proposals for an “AI Impact Sprint” under the banner of each of the three project areas. They will then flesh out an execution plan for the one they feel has the best chance of achieving the strategic goals for deploying AI at HHS. Once the task force has made its recommendation, Servant, Doubletree, and Pizzuto will assess the proposals. This partially fictionalized, public-sourced case includes background on AI at HHS and reasons for and against a variety of AI implementation plans. At the University of Virginia Darden School of Business, it is taught in the second-year “Digital Operations” course and it has been used with executive audiences to explore the dynamics of task forces; it would also be suitable in a module covering agile software development for AI.