معرفی
Susan Schneider is the William F. Dietrich Distinguished Professor of Philosophy of Mind at Florida Atlantic University (FAU), affiliated with the Stiles-Nicholson Brain Institute and the Dorothy F. Schmidt College of Arts and Letters. She serves as Founding Director of the Center for the Future Mind and co-director of the MPCR Lab, focusing on AI, consciousness, and astrobiology. Her research explores the philosophical implications of AI, including conscious AI ethics, integrated information theory, and existential risks. Schneider has held the NASA Chair and Library of Congress Distinguished Scholar roles, contributing to AI policy development in Congress. She has authored influential books like *Artificial You* and appears frequently in media (PBS, History Channel). Her work bridges philosophy, cognitive science, and technology to address cutting-edge questions about mind, AI, and the future of intelligence.
Key affiliations include FAU’s Gruber Sandbox facility, where AI systems are developed using neuroscience and philosophy insights. Collaborations with NASA and YHouse explore AI consciousness testing and interstellar probes. Schneider’s recent work involves patenting AI consciousness tests and publishing in journals like *Journal of Consciousness Studies*. She lectures globally, addressing forums such as Harvard’s Kennedy School and the World Science Festival.
- Education: Not explicitly listed, but her roles imply advanced academic training in philosophy and cognitive science.
- Grants/Awards: NASA-funded projects, Library of Congress Chair, and Forbes recognition for *Artificial You*.
- Media Engagement: TV appearances (Star Talk, History Channel), TED talks, and op-eds in *New York Times* and *Scientific American*.
Her research trends emphasize interdisciplinary approaches to AI ethics, consciousness measurement, and future technology governance. Articles and talks highlight the urgency of addressing AI’s existential risks and philosophical boundaries. Labs like MPCR Lab exemplify her commitment to merging theory with practical AI development.
