The list of potential risks associated with artificial intelligence continues to grow. “Global AI adoption is outpacing risk understanding,” warns the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL), which has joined with the MIT multidisciplinary computer group FutureTech to compile the AI Risk Repository, a “living database” of more than 700 unique risks extracted across 43 source categories. Organized by cause, classifying “how, when and why these risks occur,” the repository is comprised of seven risk domains (for example, “misinformation”) and 23 subdomains (such as “false or misleading information”). Continue reading MIT’s AI Risk Assessment Database Debuts with 700 Threats

Princeton University and University of Chicago researchers studied over 2,000 channels on streaming devices Amazon Fire TV and Roku — and found that 89 percent of the Fire TV channels and 69 percent of Roku channels included trackers. Those trackers collect data on viewing habits and preferences, device serial numbers and IDs, Wi-Fi network names and MAC (media access control) addresses, which are network interface identifiers. Some channels had 64+ different tracks. Users have no tools to examine the traffic or block ads. Continue reading Researchers Find Fire TV, Roku Channels Are Tracking Data