A New Approach to Regulating Credit-Scoring AI
Scholar presents regulatory solutions to problems posed by using AI to determine credit scores.
Addressing an Algorithmic PATTERN of Bias
The Justice Department pledges to address racial bias in an algorithm that determines early release.
Digital Versus Human Algorithms
In deciding to use artificial intelligence, the key question for administrators is a comparative one.
Fixing Cash Aid Is More Than Child’s Play
Streamlining administration of cash aid requires substantial legal and regulatory reform.
The Data Revolutionizing Credit Scoring
Scholar argues that new data sources will expand credit access and raise issues of privacy and equity.
How Enrollment Algorithms Worsen the Student Debt Crisis
Scholar advocates regulating the use of enrollment management algorithms in higher education.
Algorithmic Safeguards For the People and By the People
The White House seeks public input on a “bill of rights for an automated society.”
Robots Reviewing Agency Rules
Scholar warns that using artificial intelligence to revise agency rules may compromise democratic ideals.
Algorithmic Decisions and Their Human Consequences
A Federal Trade Commissioner urges the agency to take action to prevent bias in computer algorithms.
Countering Bias in Algorithmic Hiring Tools
Regulators struggle to counter bias in hiring because algorithms reproduce existing inequalities.
Using Machine Learning to Improve the U.S. Government
Governmental use of artificial intelligence can fit well within existing administrative law constraints.
Smart Algorithmic Change Requires a Collaborative Political Process
A groundbreaking algorithm designed to optimize school start times meets fierce community resistance.