A partnership between UCLA School of Law and UCLA Samueli School of Engineering, the Institute for Technology, Law & Policy examines the benefits and risks presented by technologies such as artificial intelligence and machine learning, robotics, cybersecurity and digital media and communications.
These and other rapidly evolving technologies raise questions germane to the outcome of ethical and public policy issues, the applicability and utility of current laws and regulations that govern their use.
ITLP produces podcasts featuring a series of conversations with thought leaders on important topics at the intersection of technology, law, and policy. Watch or listen to the podcasts.
Who We Are
Virginia Foggo and John Villasenor, "Algorithms and Fairness," forthcoming in Ohio State Technology Law Journal.
John Villasenor and Virginia Foggo, "Artificial Intelligence, Due Process, and Criminal Sentencing," 2020 Michigan State Law Review 295 (2020)
John Villasenor, "Soft Law as a Complement to Regulation," The Brookings Institution, July 31, 2020
Rebecca Wexler and John Villasenor, "How well-intentioned privacy laws can contribute to wrongful convictions," The Brookings Institution, February 11, 2020
John Villasenor, "Artificial Intelligence, Geopolitics, and Information Integrity," The Brookings Institution and ISPI, January 2020
John Villasenor, "Products liability law as a way to address AI harms," The Brookings Institution, October 2019
Short articles, op-eds, and blogs
John Villasenor, "Why creating an internet "fairness doctrine" would backfire," The Brookings Institution, June 24, 2020
John Villasenor, "Why Colleges Should Pool Teaching Resources," The Chronicle of Higher Education, June 4, 2020
John Villasenor, "Online college classes are here to stay. What does that mean for higher education?," The Brookings Institution, June 1, 2020
John Villasenor and Virginia Foggo, "Why a proposed HUD rule could worsen algorithm-driven housing discrimination," The Brookings Institution, April 16, 2020
John Villasenor, "Six Steps to Prepare for an Online Fall Semester," The Chronicle of Higher Education, April 8, 2020
John Villasenor, "Why I Won't Let My Classes Be Recorded," The Chronicle of Higher Education, January 10, 2020
John Villasenor, "Preparing Today's Students for an AI Future," The Chronicle of Higher Education, October 13, 2019
John Villasenor, "Deepfakes, social media, and the 2020 election," The Brookings Institution, June 3, 2019
John Villasenor and Virginia Foggo, "Algorithms and sentencing: What does due process require?," The Brookings Institution, March 21, 2019
John Villasenor, " Artificial intelligence, deepfakes, and the uncertain future of truth," The Brookings Institution, February 14, 2019
John Villasenor, "Artificial intelligence and bias: Four key challenges," The Brookings Institution, January 3, 2019
Algorithmic Criminal Justice?
A Symposium Hosted by the UCLA School of Law, January 24, 2020
About the Symposium
Algorithms are playing a growing role in both policing and criminal justice. In theory, algorithms can provide information that can help promote analytical rigor, objectivity and consistency. But they can also reflect and amplify biases inadvertently introduced by their human creators and biases present in data.
This event convened a diverse set of national thought leaders to engage with a key set of critically important questions on the proper role of algorithms in policing and in the criminal justice system. Topics addressed include, 1) approaches to identify and mitigate algorithmic bias, 2) the unique challenges and opportunities associated with the subset of algorithms that use AI, 3) ways to spur technological innovation so that the positive potential of algorithmic approaches in policing and criminal justice can be realized, while also protecting against the downsides, 4) the relative roles of the public and private sectors in developing, deploying, and ensuring the quality of new algorithmic solutions, and 5) approaches that can help ensure that algorithmic approaches enhance, rather than undermine, civil liberties.
Program and Videos
Welcoming remarks and introductions - Video
Panel 1: Creating Algorithms for Justice - Video
- Alex Alben (moderator) – UCLA
- Colleen Chien – Santa Clara University
- Eric Goldman – Santa Clara University
- Rebecca Wexler – UC Berkeley
Panel 2: Algorithmic Policing - Video
- Jeff Brantingham – UCLA
- Beth Colgan (moderator) – UCLA
- Catherine Crump – UC Berkeley
- Andrew Ferguson – American University
- Orin Kerr – UC Berkeley
Panel 3: Algorithmic Adjudication - Video
- Chris Goodman – Pepperdine University
- Sandy Mayson – University of Georgia
- Richard Re (moderator) – UCLA
- Andrew Selbst – UCLA
- Chris Slobogin – Vanderbilt University
Panel 4: Regulation and Oversight - Video
- Jane Bambauer – University of Arizona
- Gary Marchant – Arizona State University
- Ken Meyer – Los Angeles District Attorney's Office
- Mohammad Tajsar – ACLU of Southern California
- John Villasenor (moderator) – UCLA
Keynote: Commissioner Rebecca Kelly Slaughter – Federal Trade Commission - Video