Chris Hoofnagle (University of California, Berkeley), Woodrow Hartzog (Northeastern University), and Daniel Solove (George Washington University) have joined forces to bring their expertise and insights to the Federal Trade Commission’s (FTC) privacy regulatory efforts.
In an op-ed piece for The New York Times, Wharton School of Business professor Kevin Werbach shares his insights on why Facebook is entering the cryptocurrency business.
Privacy law expert Danielle Citron explains how digital technology magnifies the harm from violations of sexual privacy in two new articles, “Sexual Privacy” and “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security”.
Frank Pasquale, University of Maryland law professor and artificial intelligence (AI) expert, shares his thoughts on four new legally inspired rules that should be applied to robots and AI in our daily lives.
George Washington University privacy law professor Daniel Solove outlines why the U.S. does not currently have a comprehensive privacy law; and, he provides a practical path to establish federal oversight for privacy and security protections.
The Economics of Artificial Intelligence: An Agenda, edited by Rotman School of Management professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, seeks to set the agenda for the economic research on the impact of AI.
Mary Gray and Siddharth Suri’s new book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, explores the lives of people who are paid to train artificial intelligence and serve as “humans in the loop” delivering on-demand information services.
TAP Scholars Danielle Citron, University of Maryland Francis King Carey School of Law, and Ryan Calo, University of Washington, examine the trend of automation in agency decision-making, and find the automation of the administrative state “deeply concerning”.
In this opinion piece written for The New York Times, University of Pennsylvania Legal Studies and Business Ethics professor Kevin Werbach explains why the wireless open access proposal from the Trump re-election campaign is worth considering.
In their new article, “You Might Be a Robot,” Stanford law professors Mark Lemley and Bryan Casey offer a solution to the challenges of defining and legislating artificial intelligence: “laws should regulate behavior, not things”.