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Explore how to integrate human-like behavioral concepts into autonomous vehicle systems through this 33-minute conference talk from DevConf.CZ 2025. Learn about the challenges that emerge when removing human control from transportation infrastructure and discover proposed solutions for reintroducing essential human qualities like trust, honesty, and fairness into machine-governed systems. Examine how predictive digital twin simulations can assess trust between autonomous entities, understand trust management techniques for computing complex trust scores, and see how safety mechanisms can be dynamically adapted based on trust levels to emulate human-like caution in uncertain situations. Gain insights into the future of autonomous driving technology and the innovative approaches being developed to bridge the gap between human intuition and machine precision in self-driving vehicles.
Syllabus
Human-Like Behavior in Autonomous Systems - DevConf.CZ 2025
Taught by
DevConf