Big Data

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.

The Usefulness—and Possible Dangers—of Machine Learning

University of Pennsylvania workshop addresses potential biases in the predictive technique.

Regulating Automated Financial Advice

Scholars present framework for the regulation of automated advisors in the financial services industry.

Reporting Police Force in the Digital Age

Technology can help address the dearth of data surrounding police use of force.

The FTC Will Not Leave Companies to Their Own Devices

The FTC recently issued regulatory recommendations for the growing platform of devices in the Internet of Things.

The Costs and Benefits of Data Brokers

Data brokers’ use of big data leads to questions about how best to protect consumers.

FTC Chair Edith Ramirez Outlines Agenda on “Big Data”

Commission head urges efforts to protect privacy, increase transparency, and enhance consumer choice.