Raymond Sheh
Dr. Raymond Sheh is a researcher with a focus on Trusted Robots and Autonomous Systems, particularly in the areas of Cybersecurity and Artificial Intelligence (AI) Risk Management, Standard Test Methods and Performance Measurement, Explainable AI, and fostering the development of technically and operationally meaningful policy and regulation for robotic and cyberphysical systems. He has a particular interest in working with public safety, academia, and industry, to develop research competitions for intelligent response robots that advance state-of-the-science capabilities while also educating competitors about the need to manage and address cybersecurity and AI risks. He previously taught undergraduate and graduate subjects in Computer Science, Software Engineering, AI, and Cyber Security. Ask him about his experience with robotic lion cubs and his superhero alter-ego's efforts to avert the next AI winter.
Session
Public safety agencies are adopting increasingly connected and intelligent systems. Next-generation 911 provides dispatchers with ever more information. Robots searching for lost people leverage AI features and novel forms of communication. An incident commander at a wildland fire can get up-to-the-second information from satellite, aircraft, robots, personnel, and sensors, while leveraging AI to predict the fire’s evolution. But how much do they know about the novel risks of all this new technology?
This talk serves as a rallying cry to the cybersecurity community to help public safety agencies to appropriately, responsibly, and ethically adopt these new advances in connectivity and AI. I will present an overview of how public safety approaches the topic of technology, where there are gaps in their understanding, and the impacts that they can have on their ability to keep us safe. I will then discuss how practitioners from across the cybersecurity community can help, ranging from developers, testers, and hackers, through to those in governance and management.