Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-10 of 17 Results
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Amit Kaushal
Adjunct Professor, Bioengineering
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University. -
Monroe Kennedy III
Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.
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Khizer Khaderi MD, MPH
Clinical Associate Professor, Ophthalmology
BioDr. Khizer Khaderi is a Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Founding Director of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC). He also serves as faculty at the Stanford Institute for Human-Centered AI and the Wu Tsai Human Performance Alliance (HPA)
Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. Dr. Khaderi is pioneering the field of Symbiotics, defined as the convergence of human science + computer science. Khaderi developed the discipline of Symbiotics following initial interest from CS students interested in his research at the Stanford Human Perception Lab. Symbiotics involves a deep understanding in the principles of human systems and applying these principles computationally, to design and develop the next generation of human-centric technologies, where machines perceive, understand and respond to optimize the human experience. Dr. Khaderi envisions the application of Symbiotic principles as the key to unlocking ambient intelligence.
Khaderi has extensive domain expertise in artificial intelligence (AI), spatial computing (virtual reality (VR), augmented reality (AR), mixed reality (MxR)), wearables, gaming, IoT, Web3, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems based on the human brain and sensory systems, developing technologies to optimize human performance, and combining biological and computational principles to expand our capabilities in research, clinical practice, and everyday life. Dr. Khaderi's approach to advance research interests and develop practical applications for everyday use is building technology, companies and collaborative partnerships across academia and industry.
Dr. Khaderi’s experience across industry sectors include consumer electronics, gaming, retail, life science, sports/Esports health care, Pharma, e-commerce, to name a few. He has developed novel technologies in these areas, and generated multiple invention patents. Selected as a “40 under 40”, he contributed to President Obama’s Council of Advisors on Science and Technology regarding vision technology and the aging population. He also advises multiple companies, venture firms and organizations including Apple, Google, Meta, Microsoft, Riot Games, Intel, Activision, Unity, Epic Games, NBA, Glaukos, the Global Esports Federation, the World Health Organization, the International Olympic Committee, the International Telecommunication Union, and the World Bank. -
Oussama Khatib
Weichai Professor and Professor, by courtesy, of Electrical Engineering
BioRobotics research on novel control architectures, algorithms, sensing, and human-friendly designs for advanced capabilities in complex environments. With a focus on enabling robots to interact cooperatively and safely with humans and the physical world, these studies bring understanding of human movements for therapy, athletic training, and performance enhancement. Our work on understanding human cognitive task representation and physical skills is enabling transfer for increased robot autonomy. With these core capabilities, we are exploring applications in healthcare and wellness, industry and service, farms and smart cities, and dangerous and unreachable settings -- deep in oceans, mines, and space.
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Jennifer King
HAI Privacy and Data Policy Fellow
Current Research and Scholarly InterestsI research information privacy from the user's perspective (HCI) across multiple domains, including: online commercial contexts, IoT/Ubicomp, human genetics. I conduct both theoretical and applied privacy research, with a focus on the impacts of law and policy on privacy. My dissertation research explored the effects of social structures (such as power differentials) on individuals' decisions to disclose personal information in commercial contexts.
