Institute for Human-Centered Artificial Intelligence (HAI)
Showing 31-40 of 240 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.