RegTech22 Data Summit

Hosted by the Data Coalition
Wed, 16 March, 2022 9:00am


View Event Details (datacoalition.org)


Panel featuring Susan Dudley

3:00 p.m. Panel 3:  Improving Citizen Engagement and Transparency in Rulemaking Using RegTech Solutions

Administrative implementation and adoption of laws are meant to prompt regulatory processes and designed to be participatory and elicit feedback from a range of perspectives across the American public, though in practice there is much to be improved upon. This discussion will explore how RegTech solutions and emerging technological approaches can be adapted to encourage improved citizen engagement in government’s rulemaking processes, facilitating transparency, accountability, and improve rulemaking in agencies to foster more equitable participation. Using existing technologies, including AI and advanced analytic systems, and implementing data frameworks that standardize reporting requirements, RegTech solutions have the potential to transform how the government monitors regulations, analyzes submitted comments and information, and interacts with the American public on regulatory actions. This panel will discuss how RegTech solutions and approaches can streamline compliance as well as offer insight into the implementation and impact of federal rules, and support transparent regulatory decision-making that encourages the American public to meaningfully engage with their government. Join representatives from the General Services Administration, the Administrative Conference of the United States, and others to hear about the potential of RegTech to improve the federal regulatory ecosystem.

  • Reeve Bull, Research Director, Administrative Conference of the United States
  • Susan Dudley, Former Administrator of the Office of Information and Regulatory Affairs, White House Office of Management and Budget
  • Virginia Huth, Deputy Associate Administrator of Office of Regulation Management, General Services Administration

Event Description

On the morning of Wednesday, March 16, the Data Coalition Initiative will host 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 AI in public sector regulation. 

The national policy framework for advancing 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 services to the American people.

The White House issued a new executive order in late-2021 calling on federal agencies to intentionally prioritize customer experience (CX) and how the government interacts with the American public. Regulatory technologies offer approaches for vastly improving how businesses big and small, consumers, and investors interact with the information acquired by the government through regulatory processes. By applying a CX lens to the growing RegTech field, the RegTech22 Data Summit will intentionally provide new perspectives about potential innovations in government regulation that benefit those providing oversight as well as make processes for regulated entities more efficient, all while providing the American people with open data resources that support accountability, effective decision-making, and responsible privacy protective environments.

The Data Coalition’s RegTech22 Data Summit in Washington, D.C., presented by Donnelley Financial Solutions (DFIN), will bring together government, private sector, non-profit, and academic experts to discuss key opportunities in the year ahead in RegTech. 

These questions and more will be addressed during the RegTech22 Summit. Join us in-person or virtually to engage in the discussion, share your ideas and innovations, learn about models and approaches, and hear from data leaders from federal regulatory agencies in discussing the opportunities ahead. 


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