News and Analysis of Artificial Intelligence Technology Legal Issues
US Capitol Building

Artificial Intelligence, GANs, and the law of Synthetic Data: Lawmakers React to False Media Content

It didn’t take long for someone to turn generative adversarial networks (GAN)–a machine learning technique that at first blush seemed benign and of somewhat limited utility at its unveiling–into a tool with the ability to cause real harm.  Now, Congress has stepped up and passed legislation to focus the federal government’s attention on the technology.  If signed by the president, the legislation will require two federal agencies to study the role GANs play in producing false media content and report their findings back to respective House and Senate committees, which is seen as a prelude to possible notice-and-comment regulations and…

A graphic depicting a series of schematic humanoid robots

AI’s Problems Attract More Congressional Attention

As contentious political issues continue to distract Congress before the November midterm elections, federal legislative proposals aimed at governing artificial intelligence (AI) have largely stalled in the Senate and House.  Since December 2017, nine AI-focused bills, such as the AI Reporting Act of 2018 (AIR Act) and the AI in Government Act of 2018, have been waiting for congressional committee attention.  Even so, there has been a noticeable uptick in the number of individual federal lawmakers looking at AI’s problems, a sign that the pendulum may be swinging in the direction favoring regulation of AI technologies. Those lawmakers taking a serious look…

At the Intersection of AI, Face Swapping, Deep Fakes, Right of Publicity, and Litigation

Websites like GitHub, Reddit and others offer developers and hobbyists dozens of repositories containing artificial intelligence deep learning models, instructions for their use, and forums for learning how to “face swap,” a technique used to automatically replace a face of a person in a video with that of a different person. Older versions of face swapping, primarily used on images, have been around for years in the form of entertaining apps that offered results with unremarkable quality (think cut and paste at its lowest, and photoshop editing at a higher level). With the latest AI models, however, including deep neural…