Explore a comprehensive lecture on building trustworthy AI systems with common sense capabilities. Delve into the challenges and potential solutions for creating AI that can work effectively alongside humans. Learn about the CARE principles for responsible, adaptive, explainable, and collaborative AI. Discover how neuro-symbolic architectures can be used to incorporate common sense knowledge and reasoning into AI systems for tasks like story modeling and generation. Examine the speaker's vision for human-AI teams tackling important challenges in personalized medicine, cybersecurity, and investigative reporting. Gain insights into cutting-edge research on robust and explainable AI technology with real-world applications.