Institute for Human-Centered Artificial Intelligence (HAI)
Showing 231-240 of 258 Results
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Melissa Valentine
Associate Professor of Management Science and Engineering and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.
These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.
Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.
My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations. -
Gregory Valiant
Associate Professor of Computer Science
Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
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Luca Vendraminelli
Social Science Research Scholar, Stanford Digital Economy Lab (S-DEL)
Postdoctoral Scholar, Management Science and EngineeringBioLuca Vendraminelli is a Postdoctoral Researcher at the Digital Economy Lab and the Stanford Institute for Human-Centered AI (HAI) at Stanford University. He is also a research affiliate at the Center for Work, Technology & Organization (WTO) in the Department of Management Science and Engineering at Stanford University, and at the Data Science and AI Operations Lab in the Digital Data Design Institute at Harvard.
Within the context of large organizations, his research examines how AI transforms job tasks, expertise, and, more broadly, organizational design and the division of labor. He also investigates investments into AI and why AI projects fail, focusing on how the interplay between internal organizational factors and vendor strategies may be roadblocks at various stages of the technology innovation lifecycle.
His work has appeared in scientific journals such as the Journal of Product Innovation Management. He was awarded the 2020 Albert Page Award for Outstanding Professional Contribution. -
Russell Wald
Executive Director of HAI, Institute for Human-Centered Artificial Intelligence (HAI)
BioRussell Wald serves as the Executive Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). In this role he oversees HAI's research, education, finance and administrative activities, communications, industry programs, and policy and society hub. Wald works with HAI's co-directors and faculty leaders to help shape the strategic vision and human-centered mission of HAI. From 2020 - 2022 he served as HAI's first Director of Policy and later Managing Director for Policy and Society.
He is the co-author of various publications on AI including, Building a National AI Research Resource (2021), Enhancing International Cooperation in AI Research: The Case for a Multilateral AI Research Institute (2022), The Centrality of Data and Compute for AI Innovation: A Blueprint for a National Research Cloud (2022, Notre Dame Journal of Emerging Technologies). Currently he is part of a HAI seed grant research project titled, Addicted by Design: An Investigation of How AI-fueled Digital Media Platforms Contribute to Addictive Consumption. Additionally, he serves as a member of the AI Index Steering Committee, hosted by HAI.
Wald has held various policy program and government relations positions at Stanford University for over a decade. He also served as special assistant to Amy Zegart and Ashton Carter at Stanford's Center for International Security and Cooperation (CISAC). In 2014, he co-designed and led the inaugural Stanford congressional boot camp, and has since created numerous tech policy boot camps, establishing a strong and effective tradition of educating policymakers at Stanford and enhancing the collaboration between governments and academic institutions.
Prior to his work at Stanford, he held numerous roles with the Los Angeles World Affairs Council. He is a Visiting Fellow with the National Security Institute at George Mason University, and a former Term Member with the Council on Foreign Relations and the Truman National Security Project. Wald is a graduate of UCLA. -
Dennis Wall
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease
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C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) pandemic preparedness; 2) role of generative Ai on child health and development; 3) use of mobile technology in improving quality of care; 4) assessing and improving the value of healthcare, and 5) healthcare delivery innovations and payment reforms.
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Ge Wang
Associate Professor of Music and Senior Fellow at the Stanford Institute for Human-Centered AI
BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)
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Victoria Ward
Clinical Associate Professor, Pediatrics
Current Research and Scholarly InterestsGlobal child health, Health AI in LMICs, preterm birth, human trafficking
https://digitalmedic.stanford.edu/
https://htdatalab.stanford.edu/
