News

Fight Over Fowl Livers Continues in California

Fight Over Fowl Livers Continues in California

A federal appellate court decision could send foie gras off the menu—again.

Seattle’s New Housing Ordinance Will Give Ex-Offenders a Fair Chance

Seattle’s New Housing Ordinance Will Give Ex-Offenders a Fair Chance

Local law will prevent landlords from screening tenants based on their criminal history.

Bank Regulators Aim to Alter Securities Trade Rules

Bank Regulators Aim to Alter Securities Trade Rules

The period within which securities transactions must settle is likely to shrink to match SEC rule change.

Does the Administrative State Threaten U.S. Democracy?

Does the Administrative State Threaten U.S. Democracy?

Panel focuses on claims of potential dangers from growth in government agencies.

Including Climate Change in Environmental Impact Analyses

Including Climate Change in Environmental Impact Analyses

D.C. Circuit holds federal energy regulators must consider pipeline project’s impact on climate change.

How Machine Learning Can Improve Public Sector Services

How Machine Learning Can Improve Public Sector Services

Experts explain how algorithms can aid government health and welfare work.

How Can We Reveal Bias in Computer Algorithms?

How Can We Reveal Bias in Computer Algorithms?

A legal scholar and a computer scientist explored how to limit machine learning biases.

Should Robots Make Law?

Should Robots Make Law?

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

Regulating the Robots that Help Us Decide

Regulating the Robots that Help Us Decide

Professors tackle the challenges of regulating financial robo advisors.

Experts Weigh in on Fairness and Performance Trade-Offs in Machine Learning

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

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

The Usefulness—and Possible Dangers—of Machine Learning

University of Pennsylvania workshop addresses potential biases in the predictive technique.