Misaligned incentives can encourage incomprehensibility.
Scholars assert that government agencies need a policymaking mindset when purchasing machine learning technology.
Scholars analyze how artificial intelligence stands to disrupt the public and legal sectors.
Governmental use of artificial intelligence can fit well within existing administrative law constraints.
Experts explain how algorithms can aid government health and welfare work.
A legal scholar and a computer scientist explored how to limit machine learning biases.
Workshop evaluated benefits and challenges of delegating government decision-making to computers.
Professors tackle the challenges of regulating financial robo advisors.
Experts from multiple disciplines discuss notions of fairness within the age of machine learning.
Penn professors grapple with balancing efficiency and equality of government algorithms.
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.