machine learning

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.

Optimizing Government

Optimizing Government

The Optimizing Government Project brings together scholars and researchers to discuss the use of machine learning by government.

Regulating Automated Financial Advice

Regulating Automated Financial Advice

Scholars present framework for the regulation of automated advisors in the financial services industry.

Adjudicating by Algorithm, Regulating by Robot

Adjudicating by Algorithm, Regulating by Robot

Rather than raising alarm bells, government uses of artificial intelligence fit well within existing legal frameworks.

Deciding Whether Software Will Eat the Bureaucracy

Deciding Whether Software Will Eat the Bureaucracy

Agencies, policymakers, and the courts can all address the risks associated with cyberdelegation.

Preparing for Cyberdelegation and Its Risks

Preparing for Cyberdelegation and Its Risks

Automation in the administrative state could upset the relationship between people and their government.

The Surprising Use of Automation by Regulatory Agencies

The Surprising Use of Automation by Regulatory Agencies

Agencies’ uses of sophisticated information technologies highlight the possibilities of administrative automation.

Machines as Bureaucrats

Machines as Bureaucrats

New digital technologies promise improvements in government services but raise questions, too.

Artificial Intelligence and the Administrative State

Artificial Intelligence and the Administrative State

No rubric exists to decide how to navigate the use of automation in the administrative state, but society can make informed choices.

Robot Regulators Could Eliminate Human Error

Robot Regulators Could Eliminate Human Error

Scholar examines what a world of regulation by robot might look like—an innovation that could be just around the corner.