On Wednesday, March 16, the Data Coalition Initiative hosted a public forum for industry, academia, non-profits, state and local governments, and the general public to share perspectives and hear recommendations for how to best use artificial intelligence (AI) in public sector regulation.
The national policy framework for accelerating the use of AI research and adoption in government advanced rapidly in recent years: Congress passed the National AI Initiative Act and the AI in Government Act, and the Biden Administration launched the National AI Research Resource Task Force, among other actions. These policy actions demonstrate a firm belief from Congress and the White House that AI and machine learning hold tremendous potential for improving how the government delivers serves the American people.
Speakers shared practical solutions that address major issues, particularly the following:
Data Protection and Privacy – What new safeguards should be considered as AI applications are expanded in scope, scale, and linkage capabilities? How can data used to train AI be better protected? What new infrastructure may be needed to ensure protections align with expectations and needs?
Workforce – What are the skills that the workforce needs to be successful in adopting data literacy, AI, and advanced analytical methods? How does the government develop modern, coherent processes for better recruiting and then retaining talent?
Equity, Accountability, and Transparency – How can equity be prioritized in government’s AI adoption, including improvements that advance equity? How should government AI systems be accountable in regulation and budget processes?
Financial Services and Compliance – What are the approaches for aligning the use of AI in RegTech frameworks for decision-making?
Public feedback gathered during this open stakeholder forum will be shared with federal agency partners and made publicly available to support implementation of the National AI Initiative Act, AI in Government Act, and other AI initiatives in 2022 using participatory processes and public-private engagement.
Agenda
9:00 a.m. Opening Remarks
Nick Hart, President, Data Foundation
Anil 'Neil' Chaudhry, Director of Federal AI Implementation, AI Center of Excellence, General Services Administration
9:15 a.m. Panel 1
Haniyeh Mahmoudian, Global AI Ethicist, DataRobot
Julia Lane, Chief Scientist, Coleridge Initiative
Brandon Sepulvado, Senior Data Scientist, NORC at the University of Chicago
Sean Griffin, CEO, Disaster Tech
9:45 a.m. Panel 2
Alexis Bonnell, Emerging Technology Evangelist for Public Sector, Google
Tasha Austin, Principal, Deloitte & Touche LLP’s Government and Public Service
Director, Deloitte AI Institute for GovernmentPeggy Tsai, Chief Data Officer, BigID
Michael Anderson, Chief Strategist, Public Sector, Informatica
10:15 a.m. Break
10:25 a.m. Panel 3
Alexander Howard, Director, Digital Democracy Project
Darren Menachemson, Chief for Digital Societies, ThinkPlace
Bhargavi Ganesh, Ph.D. Candidate, University of Edinburgh
Darren Wray, Co-founder, Guardum
Tori Kim, Corporate Attorney & Project Manager, eBrevia, a DFIN company
11:00 a.m. Remarks from GrantSolutions
Julius Chang, Director of Innovation, GrantSolutions, HHS Office of Grants
11:10 a.m. Panel 4
Nichole Dunn, Vice President for Federal Policy, Results for America
Sarah Di Troia, Senior Advisor, Project Evident
David J. Corliss, Director, Peace-Work
Albert Lee, Founding Partner, Summit Consulting
David Dreisigmeyer, Chief Data Officer, Trewon Technologies
11:45 a.m. Closing Remarks
Sherry Bennett, Chief Data Scientist, DLT Solutions
12:30-4:30 p.m. RegTech22 Data Summit: Same location, in-person and virtual tickets available
