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

A group of researchers at Carnegie Mellon University have developed a method to accurately provide measurements for 3D objects using mobile phones. The team members discovered that they could simply make use of the inertial measurement units (IMU) installed and already used in smartphones to change the phone’s view from portrait to landscape. Some foresee this technology being especially groundbreaking in the virtual shopping space and development of self-driving cars.  Continue reading Carnegie Mellon Researchers Develop New 3D Measurement Tool