Mykel Kochenderfer on AI trustworthiness

“Ensuring the safety of AI systems that interact with the real world is harder than many people realize. We need the system to be extremely safe, even when there is a broad spectrum of plausible behavior and noise in the sensor systems.” - Mykel Kochenderfer

Mykel Kochenderfer is the director of the Stanford Intelligent Systems Laboratory and SRC Center member. His research is an area where AI failures could mean life or death. He studies decision making under uncertain conditions – which translates to systems used to monitor and control in air traffic, uncrewed aircraft, and automated cars. In these applications, the AI systems must account for efficiency of travel, complexity of movement (especially at high speeds), and limitations in sensor technologies that gather real-time data about how these vehicles move and what’s around them.

Along with Daniel Ho and Sanmi Koyejo, Mykel was asked to share his insights on the topic of AI’s potential successes and failures to serve society in a fair, trustworthy and reliable way.

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Photo: Andrew Brodhead