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Explore a comprehensive lecture on designing effective collaborative AI systems through modeling human behavior. Delve into the challenges and opportunities of interactive task learning for robots, focusing on enabling natural interactions between humans and AI. Examine the importance of incorporating models of human behavior and decision-making in intelligent system design. Learn about various advances in the field, including applications in preventive healthcare, sustainable transportation, and augmented reality. Gain insights from Shiwali Mohan, an AI systems researcher at Xerox PARC, as she shares her interdisciplinary approach to creating human-aware agents. Discover the potential of intelligent collaborative technology for social good and public welfare. Follow the journey from the basics of complex AI system deployment to cutting-edge research in cognitive architectures and interactive concept learning. Understand the significance of an interdisciplinary agenda in the science of collaborative human-AI systems and its implications for future technological advancements.
