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.
To regulate the digital economy, regulators must cooperate with platform firms, says scholar.
State-sponsored cyber attacks may require revamping how the government helps companies fight back.
Would the FTC be an effective body for regulating Internet openness?
Federal regulators may require electric cars to make more noise.