Symbiotic Fundamentals - Bridging Human Science and AI serves as the foundational gateway into the emerging discipline of Symbiotics, pioneered by Dr. Khizer Khaderi at Stanford University. This interdisciplinary course examines how advances in neuroscience, artificial intelligence, spatial computing, and sensory technologies are converging to enhance human capability and understanding. Students will explore core principles of perception, decision-making, and action (the PDA framework), learn how data from human systems can inform machine learning models, and discuss the ethical, social, and cognitive implications of human-machine co-evolution. Designed for learners across academic stages - advanced high school, undergraduate, and professional - the course provides an accessible yet rigorous introduction to the science, technologies, and philosophies driving the next frontier of human experience and AI. Learning Objectives: By the end of this course, students will be able to:1.Explain the foundational principles of Symbiotics as the convergence of human science and computer science.2.Describe how perception, decision-making, and action (PDA) form the basis of human and artificial intelligence.3.Analyze examples of human-machine interfaces (HMIs) and discuss their cognitive and ethical implications.4.Identify key research directions and technologies shaping the future of human experience and AI.5.Synthesize cross-disciplinary perspectives to frame real-world problems through a symbiotic lens.
3 units · Letter or Credit/No Credit
Symbiotic Fundamentals - Bridging Human Science and AI serves as the foundational gateway into the emerging discipline of Symbiotics, pioneered by Dr. Khizer Khaderi at Stanford University. This interdisciplinary course examines how advances in neuroscience, artificial intelligence, spatial computing, and sensory technologies are converging to enhance human capability and understanding. Students will explore core principles of perception, decision-making, and action (the PDA framework), learn how data from human systems can inform machine learning models, and discuss the ethical, social, and cognitive implications of human-machine co-evolution. Designed for learners across academic stages - advanced high school, undergraduate, and professional - the course provides an accessible yet rigorous introduction to the science, technologies, and philosophies driving the next frontier of human experience and AI. Learning Objectives: By the end of this course, students will be able to:1.Explain the foundational principles of Symbiotics as the convergence of human science and computer science.2.Describe how perception, decision-making, and action (PDA) form the basis of human and artificial intelligence.3.Analyze examples of human-machine interfaces (HMIs) and discuss their cognitive and ethical implications.4.Identify key research directions and technologies shaping the future of human experience and AI.5.Synthesize cross-disciplinary perspectives to frame real-world problems through a symbiotic lens.
Offered in Autumn 2026 at Stanford University.