CITP Special Event:Special Event
Advancing Government’s Analytic and Learning Capabilities
Date: Thursday, April 19, 2018
Time: Noon – 2 p.m.
Location: 306 Sherrerd Hall
Open to the Princeton University community.
Lunch will be served.
This talk will not be live-streamed, but the video will be uploaded to CITP’s YouTube channel.
In late 2017, the U.S. House of Representatives unanimously passed the Foundations for Evidence-Based Policymaking Act, a bill that supports the collection of data needed to evaluate and improve government programs, including regulations. This bipartisan legislation follows a long history of federal executive orders, statutes, and guidance, which require agencies to use benefit-cost analysis before adopting economically significant rules and which require agencies to review existing rules to ensure they are having their intended effect. Although there is broad agreement that agencies should analyze the effectiveness of their regulations, there has been comparatively little guidance to agencies on how, exactly, they should do that. This presentation will focus on two recent recommendations of the Administrative Conference of the United States (ACUS), a government agency dedicated to finding ways to improve administrative processes in the federal government. The recommendations aim to help agencies plan for meaningful analysis and retrospective review of their regulations.
Following on the ACUS recommendations aimed at improving regulatory analysis, the session will also feature a separate presentation and discussion of recent work by Cary Coglianese on the potential for federal government agencies to use machine learning to inform their decision-making — and even possibly to automate significant portions of their regulatory and adjudicatory tasks. The kind of data that could be used to carry out the ACUS recommendations featured in the first part of this session could also be integrated into machine-learning frameworks to support ex ante government decisions. But would a shift to a system of “regulation by robot” and “adjudication by algorithm” be consistent with prevailing legal norms? In a nation committed to government “of the people” and “by the people,” any consequential public-sector adoption of automated tools for decision support and decisionmaking will inevitably raise questions about the legal permissibility of reliance on artificial intelligence. This session will suggest that prevailing legal doctrines governing federal agencies should afford these agencies considerable room to rely on algorithms, concluding that the key questions about algorithmic governance will be the kinds of policy questions about good government that should be asked for any new policy, programmatic effort, or management innovation.
Agenda for Enhancing Government’s Analytic and Learning Capabilities
I. Retrospective Review and Learning from Regulatory Experience (Executive Orders, statutes, OMB Guidance, and ACUS Recommendations) (30 minutes)
II. Questions and Answers (30 minutes)
III. Regulating by Robot (30 minutes)
IV. Questions and Answers (30 minutes)
Reeve T. Bull
Reeve T. Bull is the research director of the Administrative Conference of the United States. Reeve has worked on projects related to international regulatory cooperation, the use of science by administrative agencies, presidential review of agency rulemaking, cost-benefit analysis, government contractor ethics, and e-rulemaking, amongst other things. Reeve was the in-house researcher for the Federal Advisory Committee Act and Government in the Sunshine Act projects, and his reports served as the basis for ACUS Recommendations 2011-7 and 2014-2, respectively.
More here: https://www.acus.gov/contacts/reeve-t-bull
Cary Coglianese is the Edward B. Shils Professor of Law and Professor of Political Science at the University of Pennsylvania, where he currently serves as the director of the Penn Program on Regulation and has served as the law school’s deputy dean for academic affairs. He specializes in the study of regulation and regulatory processes, with an emphasis on the empirical evaluation of alternative regulatory strategies and the role of public participation, negotiation, and business-government relations in policy making. His most recent books include: Achieving Regulatory Excellence; Does Regulation Kill Jobs?; Regulatory Breakdown: The Crisis of Confidence in U.S. Regulation; Import Safety: Regulatory Governance in the Global Economy; and Regulation and Regulatory Processes.
More here: https://www.law.upenn.edu/cf/faculty/ccoglian/
Todd Rubin is an attorney advisor at ACUS. Before joining ACUS, Todd was a lawyer at the U.S. Department of Education, where he worked in the Office of the General Counsel on the department’s regulatory agenda. Todd advised various policy officials and lawyers in the department on all aspects of the rulemaking process. Additionally, Todd advised the Acting General Counsel on matters pertaining to oversight requests from congressional committees, the U.S. Government Accountability Office, and the Office of the Inspector General. Before coming to the department, Todd worked at the Bazelon Center for Mental Health Law where, among other responsibilities, he analyzed notices of proposed rulemaking pertaining to housing, education, and employment.
To request accommodations for a disability, please contact Jean Butcher, , 609-258-9658 at least one week prior to the event.