James Landay

In a captivating discussion, James Landay, a computer science professor at Stanford known for his work on human-centered AI, dives into how large language models can revolutionize coaching in fitness and education. He explores the intriguing concept of motivational interviewing within AI, the integration of wearable tech for tailored recommendations, and the importance of long-term interactions. Landay also touches on the balance of social features in coaching, the innovative use of mobile AR for learning, and the philosophy of human-centered AI to maximize positive impact.

James Landay, a Stanford professor and co-director at the Stanford Institute for Human-Centered AI, discusses innovative applications of AI in education and fitness. He highlights how AI functions as a personalized coaching tool, improving learning for young students through his Smart Primer and Acorn apps. Landay also introduces GPT Coach, a fitness planner that integrates health data for tailored advice. The focus is on creating human-centered technology that benefits society and enhances individual experiences.

James Landay, a Stanford professor and co-founder of Stanford HAI, advocates for human-centered AI development. He discusses the importance of incorporating diverse perspectives in creating ethical AI systems, particularly in healthcare and education. The conversation highlights the potential of generative AI as a personalized learning tool, envisioning a future where AI enhances student engagement. Landay also emphasizes the need for accountability and ethics in AI design, reflecting on the interdisciplinary approaches necessary for responsible innovation.