Experts Weigh in on Fairness and Performance Trade-Offs in Machine Learning
Experts from multiple disciplines discuss notions of fairness within the age of machine learning.
Machine Learning’s Implications for Fairness and Justice
Penn professors grapple with balancing efficiency and equality of government algorithms.
The Usefulness—and Possible Dangers—of Machine Learning
University of Pennsylvania workshop addresses potential biases in the predictive technique.
Optimizing Government
The Optimizing Government Project brings together scholars and researchers to discuss the use of machine learning by government.
Concluding Thoughts on Cost-Benefit Analysis and the Public’s Impact in Rulemaking
The Supreme Court’s decision in Michigan v. EPA illustrates that the public has a serious role to play in the rulemaking process.
Cost-Benefit Analysis and Reasoned Agency Decision-Making
Scalia recounts his role in challenging a SEC rule on behalf of the U.S. Chamber of Commerce.
The Value of Public Participation in Rulemaking
Appearing before agencies affords the public an important opportunity to have a genuine impact on the law.
The Public’s Role in Administrative Law
Public participation in the rulemaking process serves a vital role in improving the law.
The Regulatory Accountability Act and the Obsolescence of Formal Rulemaking
Administrative agencies should not be required to use a process that has been obsolete for decades.
Constraining the President’s Appointment Power
Court holds President Obama’s appointment of acting General Counsel for the NLRB was unlawful.
The Supreme Court’s 2016–2017 Regulatory Term
Legal scholars and practitioners analyze the Court’s most important regulatory decisions of this past term.
An Empirical Analysis of the Establishment of Independent Agencies
A divided government may not fully explain the creation of agencies not directly controllable by the President.