Institute for Human-Centered Artificial Intelligence (HAI)


Showing 171-180 of 188 Results

  • Melissa Valentine

    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

    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.

  • Luca Vendraminelli

    Luca Vendraminelli

    Social Science Research Scholar, Stanford Digital Economy Lab (S-DEL)
    Postdoctoral Scholar, Management Science and Engineering

    BioLuca 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.

  • Dennis Wall

    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

  • C. Jason Wang, MD, PhD

    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.

  • Ge Wang

    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/)

  • Victoria Ward

    Victoria Ward

    Clinical Associate Professor, Pediatrics

    Current Research and Scholarly InterestsGlobal child health, digital health, preterm birth, human trafficking

  • Terry Winograd

    Terry Winograd

    Professor of Computer Science, Emeritus

    BioProfessor Winograd's focus is on human-computer interaction design and the design of technologies for development. He directs the teaching programs and HCI research in the Stanford Human-Computer Interaction Group, which recently celebrated it's 20th anniversary. He is also a founding faculty member of the Hasso Plattner Institute of Design at Stanford (the "d.school") and on the faculty of the Center on Democracy, Development, and the Rule of Law (CDDRL)

    Winograd was a founding member and past president of Computer Professionals for Social Responsibility. He is on a number of journal editorial boards, including Human Computer Interaction, ACM Transactions on Computer Human Interaction, and Informatica. He has advised a number of companies started by his students, including Google. In 2011 he received the ACM SIGCHI Lifetime Research Award.