Scholar argues for unified rules of data governance to achieve fairness, efficiency, and stability.
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.
Scholars present framework for the regulation of automated advisors in the financial services industry.
Technology can help address the dearth of data surrounding police use of force.
The FTC recently issued regulatory recommendations for the growing platform of devices in the Internet of Things.
Data brokers’ use of big data leads to questions about how best to protect consumers.