Process

Should Robots Make Law?

Workshop evaluated benefits and challenges of delegating government decision-making to computers.

Regulating the Robots that Help Us Decide

Professors tackle the challenges of regulating financial robo advisors.

Designing Safety Regulations for High-Hazard Industries

New National Academies of Sciences report offers much-needed clarity about regulatory design decisions.

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 Public’s Role in Administrative Law

Public participation in the rulemaking process serves a vital role in improving the law.

President Trump’s Regulatory Agenda

PPR panel discussion analyzes the Trump Administration’s regulatory goals and its likelihood of achieving them.

The CFPB’s Final Arbitration Rule Run Amok

New rule will raise costs, harming businesses, consumers, and the court system.