machine learning

Fixing Cash Aid Is More Than Child’s Play

Fixing Cash Aid Is More Than Child’s Play

Streamlining administration of cash aid requires substantial legal and regulatory reform.

Alternatives to Data Sharing

Alternatives to Data Sharing

Data sharing is not always required when firms use information to their advantage.

Machine Learning Could Make Government More Incomprehensible

Machine Learning Could Make Government More Incomprehensible

Misaligned incentives can encourage incomprehensibility.

Procuring the Algorithmic State With Better Policy Analysis

Procuring the Algorithmic State With Better Policy Analysis

Scholars assert that government agencies need a policymaking mindset when purchasing machine learning technology.

Artificial Intelligence in Government and the Law

Artificial Intelligence in Government and the Law

Scholars analyze how artificial intelligence stands to disrupt the public and legal sectors.

Using Machine Learning to Improve the U.S. Government

Using Machine Learning to Improve the U.S. Government

Governmental use of artificial intelligence can fit well within existing administrative law constraints.

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.