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