Law Commons^™

Autonomous Vehicle Regulation & Trust: The Impact Of Failures To Comply With Standards, William H. Widen, Phillip Koopman

Articles

The autonomous vehicle (AV) industry works very hard to create public trust in both AV technology and its developers. Building trust is part of a strategy to permit the industry itself to manage the testing and deployment of AV technology without regulatory interference. This article explains how industry actions to promote trust (both individually and collectively) have created concerns rather than comfort with this emerging technology. The article suggests how the industry might change its current approach to law and regulation from an adversarial posture to a more cooperative one in which a space is created for government regulation consistent …

Platforms As Blackacres, Thomas E. Kadri

Scholarly Works

While writing this Article, I interviewed a journalist who writes stories about harmful technologies. To do this work, he gathers information from websites to reveal trends that online platforms would prefer to hide. His team has exposed how Facebook threatens people’s privacy and safety, how Amazon hides cheaper deals from consumers, and how Google diverts political speech from our inboxes. You’d think the journalist might want credit for telling these important stories, but he instead insisted on anonymity when we talked because his lawyer was worried he’d be confessing to breaking the law—to committing the crime and tort of cyber-trespass. …

Deepfakes, Shallowfakes, And The Need For A Private Right Of Action, Eric Kocsis

Dickinson Law Review (2017-Present)

For nearly as long as there have been photographs and videos, people have been editing and manipulating them to make them appear to be something they are not. Usually edited or manipulated photographs are relatively easy to detect, but those days are numbered. Technology has no morality; as it advances, so do the ways it can be misused. The lack of morality is no clearer than with deepfake technology.

People create deepfakes by inputting data sets, most often pictures or videos into a computer. A series of neural networks attempt to mimic the original data set until they are nearly …