Overview
Generative Artificial Intelligence (AI) is rapidly transforming how the public interacts with federal statistical data. As AI systems increasingly draw on public datasets, ensuring that federal statistics are accurately and reliably represented has become a critical priority. This webinar will present the findings and recommendations from the recent FCSM report, AI-Ready Federal Statistical Data: An Extension of Communicating Data Quality (FCSM 25-03) and some of the early work in this space. The session will explore how agencies can prepare their data assets for seamless integration with generative AI tools and agent models, which rely on machine-understandable data to deliver accurate, context-rich responses to users. A key focus will be on the adoption of Model Context Protocols (MCPs)—emerging open-source standards designed to enable AI agents to retrieve, interpret, and utilize federal data in a controlled and standardized way. By enhancing APIs and metadata with MCPs and other AI-friendly features, agencies can ensure that both human users and AI agents have access to authoritative, high-quality statistical information.
Speakers
Isabella Mendoza, US Digital Corps, US Digital Corps AI Readiness Collective part of Department of Commerce capacity
Luke Keller, Chief Innovation Officer & Bureau AI Lead, US Census Bureau
Dominique Duval-Diop, Deputy Chief Data Officer & Acting Chief Data Officer, Department of Commerce
Discussant
Travis Hoppe, Chief AI officer, Centers for Disease Control and Prevention
About the Speakers
Isabella Mendoza, US Digital Corps, US Digital Corps AI Readiness Collective part of Department of Commerce capacity (bio sketch coming soon!)
Luke Keller is the Chief Innovation Officer and Bureau AI Lead at the U.S. Census Bureau, where they manage cross-functional teams delivering AI products that help policymakers, researchers, and the public better understand the nation’s people and economy. They lead a portfolio of AI, privacy engineering, and policy and governance projects at the largest statistical agency in the country, combining technical product leadership with strategic oversight to turn cutting-edge AI innovation into practical solutions. Luke’s career spans industries including social impact technology startups and web development, where they were instrumental in developing web-based products and advancing innovation. Their expertise in AI, risk mitigation, and continuous user feedback has been highlighted in discussions on platforms such as FedInsider. Under their leadership, Census teams have delivered: AI platforms eliminating 800K+ hours of manual work through machine learning automation; Model Context Protocol (MCP) infrastructure enabling AI agent interoperability; Privacy-enhancing technologies that enable secure computation on confidential data; AI governance frameworks balancing innovation velocity with responsible AI best practices
Dominique Duval-Diop is the Deputy Chief Data Officer at the Department of Commerce (DOC). Dr. Duval-Diop works across DOC to accelerate the value of data in meeting the Department’s mission to create the conditions for economic growth and opportunity for all communities. Her position is housed at the Office of the Under Secretary for Economic Affairs. In her prior role, Dr. Duval-Diop was the Chief Data Scientist of the United States, working in the White House Office of Science and Technology Policy. She also co-chaired the Equitable Federal Funding Interagency Working Group of the NSTC Subcommittee on Equitable Data. She worked at the nexus of data, tech, and equity to help build the capacity of federal agencies to use data and technology to drive equity in infrastructure investments and other federal funding programs. Dr. Duval-Diop also previously served as a member of the Derute Consulting Cooperative, where she helped build the organizational capacity of mission-driven non-profit and governmental organizations using participatory, inquiry-based research methods, and statistical and geographic analysis. She also previously was an American Association for the Advancement of Science (AAAS) fellow and later served as Associate Director of Gender and Social Inclusion at the Millennium Challenge Corporation, where she worked to advance the agency’s use of data analytics and geospatial analysis to drive the equitable impact of international infrastructure programs in countries including Senegal, Mozambique, Tunisia, and the Solomon Islands. She was also a board member of the Equity and Inclusion Campaign. Dominique holds a bachelor’s degree in economics from Northwestern University, a Master of Public Administration in Urban and Environmental Policy from Columbia, and a PhD in Economic Geography from Louisiana State University.
Discussant
Travis Hoppe is the Chief AI officer at Centers for Disease Control and Prevention. He holds a Ph.D. in Physics from Drexel University, and served his post-docs at the National Institutes of Health. He serves as the CDC representative for the National Science and Technology Council (NSTC) for AI/ML, a standing member of the Federal Committee on Statistical Methodology (FCSM), and leads research, development, and policy work on AI at the CDC.
Event Type
- NISS Hosted