machine learning

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

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

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

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

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

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

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

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

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

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