Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-16 of 16 Results
Professor of Geological Sciences and, by courtesy, of Geophysics
Current Research and Scholarly InterestsMy research focuses on the exploration & exploitation of geological resources, from data acquisition to decision making under uncertainty and risk assessment.
Associate Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric)
Current Research and Scholarly InterestsDr. Char's research is focused on identifying and addressing ethical concerns associated with the implementation of next generation technologies like whole genome sequencing and its attendant technologies like machine learning to bedside clinical care.
Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsDr. Chaudhari is interested in the application of artificial intelligence techniques to all aspects of medical imaging, including automated schedule and reading prioritization, image reconstruction, quantitative analysis, and prediction of patient outcomes. His interests range from developing novel data-efficient machine learning algorithms to clinical deployment and validation of patient outcomes. He is also exploring combining imaging with clinical, natural language, and time series data.
Jonathan H. Chen, MD, PhD
Assistant Professor of Medicine (Biomedical Informatics)
Current Research and Scholarly InterestsInformatics solutions ares the only credible approach to systematically address challenges of escalating complexity in healthcare. Tapping into real-world clinical data streams like electronic medical records will reveal the community's latent knowledge in a reproducible form. Delivering this back as clinical decision support will uniquely close the loop on a continuously learning health system.
Assistant Professor of Communication and, by courtesy, of Sociology
Current Research and Scholarly InterestsAngèle Christin studies how algorithms and analytics transform professional values, expertise, and work practices.
Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press, 2020) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. Drawing on ethnographic methods, Angèle shows how American and French journalists make sense of traffic numbers in different ways, which in turn has distinct effects on the production of news in the two countries. She discussed it on the New Books Network podcast.
In a related study, she analyzed the construction, institutionalization, and reception of predictive algorithms in the U.S. criminal justice system, building on her previous work on the determinants of criminal sentencing in French courts.
Her new project examines the paradoxes of algorithmic labor through a study of influencers and influencer marketing on YouTube, Instagram, and TikTok.
Events Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioCelia Clark is the Events Manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). In this role, Celia oversees HAI’s events including large-scale conferences, workshops, and seminars.
Prior to joining HAI, Celia was the Event Planner for the Stanford Institute for Economic Policy Research (SIEPR).
Before moving to California to join Stanford, Celia spent eight years working in the sports industry, where she focused on marketing and operations.
Celia earned her B.A. in Psychology from Agnes Scott College and M.S. in Recreation, Sports, and Tourism from the University of Illinois, Urbana-Champaign
James G. March Professor of Organizational Studies in Education and Business, Professor of Psychology and, by courtesy, of Organizational Behavior at the Graduate School of BusinessOn Leave from 09/01/2022 To 06/30/2023
Current Research and Scholarly InterestsMuch of my research examines processes related to identity maintenance and their implications for social problems. One primary aim of my research is the development of theory-driven, rigorously tested intervention strategies that further our understanding of the processes underpinning social problems and that offer solutions to alleviate them. Two key questions lie at the core of my research: “Given that a problem exists, what are its underlying processes?” And, “Once identified, how can these processes be overcome?” One reason for this interest in intervention is my belief that a useful way to understand psychological processes and social systems is to try to change them. We also are interested in how and when seemingly brief interventions, attuned to underlying psychological processes, produce large and long-lasting psychological and behavioral change.
The methods that my lab uses include laboratory experiments, longitudinal studies, content analyses, and randomized field experiments. One specific area of research addresses the effects of group identity on achievement, with a focus on under-performance and racial and gender achievement gaps. Additional research programs address hiring discrimination, the psychology of closed-mindedness and inter-group conflict, and psychological processes underlying anti-social and health-risk behavior.
Nicholas Alvaro Coles
BioI am a Research Scientist at Stanford University and the Director of the Psychological Science Accelerator. I conduct research in affective science, cross-cultural psychology, and meta-science.
In affective science, I seek to understand the social, cognitive, and physiological processes that underlie emotion. Much of my research here has focused on the facial feedback hypothesis, the idea that sensorimotor feedback from facial expressions can impact emotional processes (e.g., that smiling can make people feel happy).
In meta-science, I seek to build research infrastructure that allows researchers to obtain generalizable knowledge about psychological phenomenon. In this domain, I direct the Psychological Science Accelerator: a globally distributed consortium of researchers who pool intellectual and material resources to accelerate the accumulation of generalizable knowledge in psychology.
Steven Hartley Collins
Associate Professor of Mechanical Engineering
BioSteve Collins is an Associate Professor of Mechanical Engineering at Stanford University, where he teaches courses on design and robotics and directs the Stanford Biomechatronics Laboratory. His primary focus is to speed and systematize the design and prescription of prostheses and exoskeletons using versatile device emulator hardware and human-in-the-loop optimization algorithms (Zhang et al. 2017, Science). Another interest is efficient autonomous devices, such as highly energy-efficient walking robots (Collins et al. 2005, Science) and exoskeletons that use no energy yet reduce the metabolic energy cost of human walking (Collins et al. 2015, Nature).
Prof. Collins received his B.S. in Mechanical Engineering in 2002 from Cornell University, where he performed undergraduate research on passive dynamic walking robots. He received his Ph.D. in Mechanical Engineering in 2008 from the University of Michigan, where he performed research on the dynamics and control of human walking. He performed postdoctoral research on humanoid robots at T. U. Delft in the Netherlands. He was a professor of Mechanical Engineering and Robotics at Carnegie Mellon University for seven years. In 2017, he joined the faculty of Mechanical Engineering at Stanford University.
Prof. Collins is a member of the Scientific Board of Dynamic Walking and the Editorial Board of Science Robotics. He has received the Young Scientist Award from the American Society of Biomechanics, the Best Medical Devices Paper from the International Conference on Robotics and Automation, and the student-voted Professor of the Year in his department.
Social Science Research Scholar
BioI teach and do research across a variety of fields and work with teams to coordinate projects across academia and industry. I intend to study, share, and practice the principles of life that lead to greater wisdom, peace, and prosocial engagement in the world.
Born in Arizona in 1988, I received a BA in Human Biology (with a concentration in the Psychology and Philosophy of Successful Aging) from Stanford University in 2012 and an MS in Community Health and Prevention Research from Stanford Medicine in 2019. As a speaker, teacher, and writer, I cover topics ranging from biology and psychology to behavior design, human nature, and the future of biotechnology. As a consultant and interdisciplinary research scholar, I study human behavior (especially screen time), biotechnological ethics, social connectedness, public health, and human flourishing.
See more on my personal website: https://stevencrane.me/ or our Stanford project website at https://boundariesofhumanity.stanford.edu/