Panel focuses on claims of potential dangers from growth in government agencies.
Data show that more stringent building codes deliver benefits greatly exceeding their costs.
D.C. Circuit holds federal energy regulators must consider pipeline project’s impact on climate change.
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.
New National Academies of Sciences report offers much-needed clarity about regulatory design decisions.
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.