Chief Data Officer, Office of the Chief Information Officer [OCIO], United States Office of Personnel Management (invited)
Emerging Technology Tech Talks
Panel: Can Artificial Intelligence Help Increase Fairness and Equity?
AI systems need to be ethical, responsible, transparent, and explainable. AI and ML systems are greatly dependent upon their training data to ensure results from the algorithms are fair and ethical. These concerns are particularly important for government decision making that may affect citizens and services.
Listen in as topic experts explore how the use of artificial intelligence to increase fairness and equity has become important throughout governmental decision-making. How should the government validate, measure, and ensure the ethics and fairness of AI systems and decisions?
Chief Data Scientist and ODS Acting Associate Director, National Technical Information Service, U.S. Department of Commerce
Associate Chief Data Officer, Food and Nutrition Service, U.S. Department of Agriculture (invited)
Dr. Lynne Parker
Assistant Director for Artificial Intelligence, Technology Division, Office of Science and Technology Policy, Executive Office of the President (invited)
Deputy Comptroller for Compliance Risk, Office of Compliance and Community Affairs, U.S. Department of the Treasury (invited)
Moderator: Melissa Harris
Senior Researcher, GovCIO
Emerging Technology Tech Talks
Panel: Let AI Bring BIG Value out of Big Data
As government mission requirements grow, Federal agencies continuously seek ways to maximize the use of the vast data sets they collect and store. Artificial Intelligence (AI) is a collection of technologies that excel at extracting insights and patterns from large sets of data. By using those insights and patterns to make future predictions, AI has the potential to improve mission effectiveness, stretch workforce capacity, combat waste, fraud, and abuse and drive operational efficiencies.
Tune into this panel as Federal CDO’s discuss their ever-changing data-centric environment combining real-time data streams, established databases, and legacy datasets. What are some major successes and challenges that occur at this intersection of finding value in the collected information. How can agencies best harness the AI potential to transform national security, agriculture, transportation and healthcare? What steps are completed and planned to leverage AI towards improvement in overall government operations?
Chief Data Officer (Acting), U.S. Patent and Trademark Office
Chief Data Officer, Pandemic Response Accountability Committee, Executive Office of the President
Chief Data Officer, Office of the Under Secretary for Economic Affairs, Department of Commerce
Dr. Lon Gowen
Chief Data Officer, Office of the Chief Information Officer, Office of the Under Secretary, United States Department of Homeland Security (pending agency approval)
Chief Data Officer, Office of the Chief Information Officer, Under Secretary of the Navy, United States Department of the Navy
Moderator: Jory Heckman
Reporter, Federal News Network
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