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Data as the Foundation: Privacy, Policy, and Artificial Intelligence

Overview

In this webinar, we delved into the federal government's thinking on cutting-edge AI technologies, as well as what must be considered to help ensure the government data is “AI-Ready.” This session aimed to explore the intersection of technology, privacy considerations, evidence-informed policymaking, and the responsible use of AI technologies, including generative AI.

Expert speakers discussed the challenges and opportunities of leveraging data in order to implement AI technologies in government activities. Participants gained insights into the social implications, regulatory frameworks, and collaboration between public and private sectors in driving responsible and privacy-preserving generative AI applications.

Speakers

  • Gillian Diebold, Policy Analyst, Center for Data Innovation

  • Albert Lee, Ph.D., Senior Economist, Founding Partner, Summit Consulting

Earlier Event: August 24
Introducing OMB’s Proposed Public Trust Rule for Data: the Role of Statistical Agencies and the Evidence Act’s Title III Regulations
Later Event: September 26
Shaping Trust: Navigating Federal Statistical Regulations for Evidence-Based Policy