How Machine Learning Can Improve Public Sector Services
Experts explain how algorithms can aid government health and welfare work.
How Can We Reveal Bias in Computer Algorithms?
A legal scholar and a computer scientist explored how to limit machine learning biases.
Should Robots Make Law?
Workshop evaluated benefits and challenges of delegating government decision-making to computers.
Regulating the Robots that Help Us Decide
Professors tackle the challenges of regulating financial robo advisors.
Experts Weigh in on Fairness and Performance Trade-Offs in Machine Learning
Experts from multiple disciplines discuss notions of fairness within the age of machine learning.
Machine Learning’s Implications for Fairness and Justice
Penn professors grapple with balancing efficiency and equality of government algorithms.
Optimizing Government
The Optimizing Government Project brings together scholars and researchers to discuss the use of machine learning by government.
Co-Regulating the Platform Economy
To regulate the digital economy, regulators must cooperate with platform firms, says scholar.
Improving the Public-Private Cybersecurity Partnership
State-sponsored cyber attacks may require revamping how the government helps companies fight back.
The FTC and Net Neutrality’s Plan B
Would the FTC be an effective body for regulating Internet openness?
FCC Privacy Rule Repealed
Congress and President Trump dismantle Obama Administration rule aimed at bolstering Internet privacy.