As AI-generated fake videos become more problematic, UC Riverside computer scientists developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it.

The UCR team addressed that challenge by integrating a wheeled mobile robot, an electromagnetic induction sensor, onboard localization and a planning algorithm designed for orchard-scale operation. The system allows the robot to navigate orchard rows, prioritize important sampling locations and collect dense soil data within a fixed operating window.

Ozkan, a professor of electrical and computer engineering in UC Riverside’s Marlan and Rosemary Bourns College of Engineering, co-authored the paper with Paul R. Sanberg, president of the National Academy of Inventors. The work grew out of Ozkan’s role as a 2025 NAI Invention Ambassador, a leadership position focused on collaboration, translational research, and inventor engagement across academic institutions.

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away — sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours. The researchers found that the automated agents can become dangerously fixated on completing assignments without recognizing when their actions are harmful, contradictory, or simply irrational.