Data Privacy Through the Lens of Big Tech
Scholars discuss regulating digital platforms through the lens of data privacy.
Alternatives to Data Sharing
Data sharing is not always required when firms use information to their advantage.
A New Digital Age Privacy Protection Agency Holds Promise
The Data Protection Act of 2021 would strengthen public safeguards over big data.
Finding Common Rules to Wrangle Big Data
Scholar argues for unified rules of data governance to achieve fairness, efficiency, and stability.
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.