| CARVIEW |
Min Kyung Lee
| SELECTED HIGHLIGHTS |
| Our Matchmaking with AI paper received the CSCW24 Best Paper Honorable Mention award. |
| ️ I was honored to participate in the White House Office of Science and Technology Policy (OSTP) event on Open by Design: Participatory Algorithm for Equity and Inclusion and give a keynote at the MIDAS Ethical AI symposium at the University of Michigan. |
| We organized a workshop on Human-AI Alignment: Developing a Research Agenda by Bridging Interdisciplinary Approaches at the TAS conference! |
| Our PhD student, Angie Zhang, ran a co-design workshop as part of the worker training on AI, which was organized by International Labour Organization. |
I am an assistant professor in the
UT Austin School of Information, and a director of the
Human-AI Interaction Lab. I am also core faculty of the campus-wide
Ethical AI Program, and affiliated with
Machine Learning Lab,
Good Systems, and
Texas Robotics. Our work is possible thanks to the
National Science Foundation,
Good Systems,
Swedish Research Council,
Ford Foundation, and
Omydiar Network.
I am a human-computer interaction researcher who combines computer science, design, and social science theories and methods. I conducted some of the first studies that empiricially examine the AI's social implications on work, management, and governance. I coined the term Algorithmic Management, and proposed the Procedural Justice Framework for AI to address the misalignment between AI assumptions and stakeholder priorities.
My vision is that Participatory AI, which enables stakeholder participation across the AI development cycle, can better align AI with stakeholder priorities and contribute to creating just, empowering workplaces and cities.
I strive to translate my research into pragmatic systems and processes to make the real-world impact or support organizations that promote equity and social good. Our WeBuildAI participatory algorithm is adopted by Food Rescue Hero; we are conducting research to assist public administration using technology. Some of our current partners include Austin Transportation Department, King County, Washington, and Food Rescue Hero.
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Google Scholar
(11,850 citations) 👋
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| SELECTED HIGHLIGHTS |
| Our Matchmaking with AI paper received the CSCW24 Best Paper Honorable Mention award. |
| ️ I was honored to participate in the White House Office of Science and Technology Policy (OSTP) event on Open by Design: Participatory Algorithm for Equity and Inclusion and give a keynote at the MIDAS Ethical AI symposium at the University of Michigan. |
| We organized a workshop on Human-AI Alignment: Developing a Research Agenda by Bridging Interdisciplinary Approaches at the TAS conference! |
| Our PhD student, Angie Zhang, ran a co-design workshop as part of the worker training on AI, which was organized by International Labour Organization. |
| NEWS |
|
December 2025 Co-organizing a meet-up, RAI@CHI: Responsible and Human Centred AI Across Borders at ACM CHI’26. Stay tuned. |
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December 2025 Co-organizing two ACM CHI workshops: Human-Centered Explainable AI (HCXAI): Re-examining XAI in the Era of Agentic AI, and Participation, Procurement & Proof of Impact in Public Sector AI Innovation. More information to come! |
|
November 2025 Moderated the Good System’s panel on Responsible AI and User Needs with Andrew Smart, Meg Young, and Craig Watkins |
|
November 2025 Invited to speak at the Algorithmic Work Roundtable |
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November 2025 Invited to speak at the Psychology of Technology Conference |
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October 2025 Won a grant to explore the impact of responsible AI on financial performance, funded by the Ford Foundation and the Omidyar Network |
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October 2025 Attended Big Brain Data’s Sandpit |
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October 2025 ACM CSCW 2025 paper on “Data and Technology for Equitable Public Administration: Understanding City Government Employees' Challenges and Needs” received a Best Paper Honorable Mention (top 5%) |
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June 2025 “Regulating Algorithmic Management: A Multi-Stakeholder Study of Challenges in Aligning Software and the Law for Workplace Scheduling” is published at ACM FAccT 2025 |
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May 2025 CHI 2025 paper “Gig2Gether: Datasharing to Empower, Unify and Demystify Gig Work” has received an honorable mention (top 5%) |
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May 2025 Co-organized a workshop titled “Emerging Practices in Participatory AI Design in Public Sector Innovation” at CHI 2025 |
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May 2025 “Knowledge Workers' Perspectives on AI Training for Responsible AI Use” has been presented at CHI 2025 |
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May 2025 “Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas” has been presented at CHI 2025 |
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April 2025 Served on a panel at the Stanford AI x Culture Summit |
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March 2025 Invited to speak at the Harvard Program on Negotiation: AI Negotiation Summit |
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February 2025 Gave a keynote at the SIGCHI Korea-Top-conference Program |
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November 2024 Co-organizing the CSCW 2024 workshop “Worker Data Collectives as a Means to Improve Accountability, Combat Surveillance, and Reduce Inequalities.” Learn more on the workshop website. |
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October 2024 Gave a keynote at the AI and the Future Symposium at Kansas State University |
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October 2024 Co-organized the EURAM 2025 paper track on AI, Big Data, Algorithmic Management and Emerging Tech in Human Resources Management, Employment Relations, and Organizational Behaviours |
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September 2024 Co-organized a TAS workshop, "Human-AI Alignment: Developing a Research Agenda by Bridging Interdisciplinary Approaches" |
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July 2024 Honored to serve as a panelist at the White House Office of Science and Technology Policy (OSTP) event on Open by Design: Participatory Algorithm for Equity and Inclusion |
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June 2024 Served as a panelist at the Association of Public & Land-Grant Universities’s Commission on Information, Measurement, and Analysis Panel: AI Empowered Student Engagement and Success |
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April 2024 Gave a lecture as William Field Pierson Lecturer at Princeton University |
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April 2024 Gave a keynote at the MIDAS Ethical AI symposium at the University of Michigan, Ann Arbor, MI |
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April 2024 Received the Health IT SPARK grant on AI chatbot for dementia caregivers with hearing/vision impairment |
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November 2023 Served as a panelist for ACM CSCW panel, "LLMs and the Infrastructure of CSCW" |
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October 2023 Served as a panelist at (Dis)Trust and AI: Perspectives from Across Disciplines and Sectors |
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July 2023 Received the Swedish Research Council grant on algorithmic management at work. Excited to explore worker-centered interventions for algorithmic management on a global scale |
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June 2023 Awarded the NSF SCC grant on community-driven design of urban air mobility transportation management systems |
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November 2022 Co-organizing an ACM CSCW workshop, “Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments and Impacted Communities” |
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October 2022 Gave a talk at the Karolinska Institutet in Stockholm, Sweden |
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October 2022 Gave a keynote at the Augmented Intelligence at Work Symposium in Hanover, Germany |
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October 2022 Excited to NSF DASS funding on enabling standards- and disclosure-based regulations in and through software systems |
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October 2022 Received NSF CIVIC funding on co-creating a community platform for people experiencing homelessness |
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September 2022 Gave a keynote at the Image Conference in Austin |
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July 2022 Gave a talk at IDEA Institute on AI |
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May 2022 Excited to give a talk at the University of Oxford on Participatory Algorithmic Management |
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April 2022 Received an ACM CHI Best Paper Honorable Mention award for Remaining gigwork |
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April 2022 Served as a panelist for ACM CHI’22 panel on Participatory Design of AI systems |
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April 2022 Honored to give a talk as a Dr. Frederica Darema lecturer in CS at Illinois Institute of Technology |
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March 2022 Co-organized an ACM HRI 2022 workshop on Fairness and Transparency in HRI |
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August 2021 Gave an invited talk at the 35th International Workshop on New Technologies and Work (NeTWork): Safety in the Digital Age |
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August 2021 Excited to receive a NSF NRT-AI Grant for Ethical Robotics |
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August 2021 Gave a keynote at the International Conference on Women Scientists and Engineers on Biotechnology, Information Technology, Energy Technology, and Nano Technology |
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August 2021 Excited to receive 6-year grants for the Good Systems Projects on Racially Equitable AI and Misinformation |
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July 2021 Excited to receive a Swedish AFA Insurance grant on Algorithmic Management and Worker Health with Karolinska Institutet |
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June 2021 Humbled to serve as a ACM FAccT Conference Diversity and Inclusion Co-Chair for two years |
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June 2021 Gave a talk at the KAIST Graduate School of AI Colloquium |
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March 2021 Gave a talk at the Cyprus Center for Algorithmic Transparency (CyCAT) |
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Jan 2021 A new CHI paper titled Who Is Included in Human Perceptions of AI?: Trust and perceived fairness around healthcare AI and cultural mistrust |
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November 2020 Gave a talk titled "Centering racial equity in AI fairness" at the UT Austin Good Systems Panel for AI and the Future of Racial Justice. |
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October 2020 Gave a Data Science seminar talk titled "AI for all: Enabling participatory and procedurally-fair AI" at the Seoul National University |
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September 2020 Organizing an IUI workshop on XAI for social justice |
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August 2020 Serving as an Area Chair for ACM FAccT 2021 |
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August 2020 Received a NSF Smart & Connected Communities (SCC) grant on Empowering Gig Workers Through Building A Community-Centered Gig Economy |
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June 2020 Gave an invited talk at Assured Autonomy Workshop on responsible autonomy |
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May 2020 Received a NSF RAPID grant on Trust in Public Health Information During a Pandemic |
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Mar 2020 Gave a AI seminar at UC San Diego on Fair and Participatory AI for all |
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Jan 2020 Received a NSF Fairness in Artificial Intelligence (FAI) grant on Advancing Fairness in AI with Human-Algorithm Collaborations |
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Dec 2019 Leading the CHI2020 workshop on Fair & Responsible AI |
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Dec 2019 Received a UT Healthcare Technology, Communication, & Privacy seed grant |
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July 2019 Two papers at CSCW 2019: WeBuildAI: Participatory Framework for Algorithmic Governance and Procedural Justice in Algorithmic Fairness |
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July 2019 Gave a talk titled "Procedural Justice in Algorithmic Fairness: Transparency, Control and Participation Perspectives" at Simons Institute Workshop on Recent Developments in Research on Fairness |
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June 2019 WeBuildAi and algorithmic participation received Popular Poster Award at the Mechanism Design for Social Good Workshop |
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June 2019 Gave a talk on Algorithmic Management for Empowerment at HCI Consortium 2019 on the Futures of Work |
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June 2019 Presented WeBuildAI at Collective Intelligence |
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June 2019 HomeMeld Telepresence received Best Demo Award |
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May 2019 Received a new grant from Block Center for Technology and Society for my project on fair AI and community participation |
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April 2019 Paper on statistical foundation of virtual democracy accepted to ICML 2019 |
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February 2019 Co-editing Special Issue on Unifying HCI and AI for HCI Journal |
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January 2019 Giving guest lecture titled Social Considerations for Algorithmic Fairness for the Interpretable Machine Learning class |
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January 2019 Giving a talk at Stanford Seminar on Computers, People and Design |
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November 2018 Giving guest lecture titled Algorithmic Management for the AI for Public Policy class |
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November 2018 Co-organizing Participation in Algorithmic Ecosystems Workshop at CSCW |
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July 2018 Attending the CSST Decennial Sociotech Futures Symposium |
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May 2018 Serving as CHI 2019 Program Committee Associate Chair |
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May 2018 Giving guest lecture titled Methods for Studying Human-AI Interaction for the Integrated Intelligence in Robotics |
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April 2018 Giving guest lecture titled Design of Future Robotic Services for the Programming Usable Interfaces class |
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January 2018 Delighted that our project on a fair algorithm is selected as one of two recipients of the Uptake Machine Learning for Social Good Funding |
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December 2017 My paper on perceptions of algorithmic decisions accepted to Big Data & Society |
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December 2017 Presented at a NSF Workshop on Trustworthy Algorithmic Decision-Making |
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December 2017 Visiting Microsoft Research NYC to give a seminar talk |
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October 2017 Became editorial board for ACM Transactions of Human-Robot Interaction as Associate Editor |
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May 2017 Serving as CHI 2018 Program Committee Associate Chair |
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April 2017 Giving guest lecture titled "Designing Fair Algorithmic Services" for the Designing Environments for Interaction class |
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April 2017 Invited to speak at Psychology of Technology Conference |
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March 2017 Serving as CHI 2017 Telepresence Chair with Carman Neustaedter |
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Febraury 2017 Received CSCW Best Paper Honorable Mention for algorithmic mediation & fair division algorithms |
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December 2016 Paper on fair algorithmic services accepted to CHI 2017 |
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November 2016 Virtually attended the HRI 2017 Program Committee meeting |
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September 2016 Excited about my new NSF funding on a smart community service for the homeless population |
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June 2016 Presented my work on algorithmic management of Uber/Lyft drivers at the Society for the Advancement of Socio-Economics (SASE) Conference |
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April 2016 Gave a seminar at UC Berkeley School of Information, video recorded here |
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March 2016 My fieldwork with Snackbot featured in MIT Technology Review |
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January 2016 Excited to be on the CHI panel on Algorithmic Authority |
You can also find
most recent
and
most cited
publications on Google Scholar.
(Citations: 11,850, h-index: 45)
Algorithmic management and occupational safety and health in the
logistics sector.
Nilsson, K., Håkansta, C., Strauss-Raats, P., Lee, M. K., &
Bodin, T.
In Occupational and Environmental Medicine, 82(Suppl 1),
A30-A30.
Website
Algorithmic management and occupational health: A comparative
case study of organizational practices in logistics.
Nilsson, K. H., Matilla-Santander, N., Lee, M. K., Brulin,
E., Bodin, T., & Håkansta, C.
In Safety Science, 187, 106863.
Website
Regulating Algorithmic Management: A Multi-Stakeholder Study of
Challenges in Aligning Software and the Law for Workplace
Scheduling.
Lynn, J., Kim, R. Y., Gao, S., Schneider, D., Pandya, S. S., &
Lee, M. K.
In
Proceedings of the 2025 ACM Conference on Fairness,
Accountability, and Transparency, 547-572.
Website
Data and Technology for Equitable Public Administration:
Understanding City Government Employees' Challenges and
Needs.
Best Paper Honorable Mention
Zhang, A., Liao, M., Taylor, M., Haddad, A., Bhat, C., Watkins, S.
C., & Lee, M. K.
In arXiv preprint arXiv:2505.21682.
Website
Proxona: Supporting Creators' Sensemaking and Ideation with
LLM-Powered Audience Personas.
Choi, Y., Kang, E. J., Choi, S., Lee, M. K., & Kim, J.
In
Proceedings of the 2025 CHI Conference on Human Factors in
Computing Systems, 1-32.
Website
Knowledge Workers' Perspectives on AI Training for Responsible AI
Use.
Zhang, A. & Lee, M. K.
In
Proceedings of the 2025 CHI Conference on Human Factors in
Computing Systems, 1-18.
Website
Emerging Practices in Participatory AI Design in Public Sector
Innovation.
Saxena, D., Kahn, Z., Moon, E. S., Chambers, L. M., Jackson, C.,
Lee, M. K., Eslami, M., Guha, S., Erete, S., Irani, L.,
Mulligan, D., & Zimmerman, J.
In
Proceedings of the Extended Abstracts of the CHI Conference on
Human Factors in Computing Systems, 1-7.
Website
Gig2Gether: Datasharing to Empower, Unify and Demystify Gig
Work.
Hsieh, J., Zhang, A., Surati, S., Xie, S., Ayala, Y., Sathiya, N.,
Kuo, T., Lee, M. K., & Zhu, H.
In
Proceedings of the 2025 CHI Conference on Human Factors in
Computing Systems, 1-25.
Website
GuideLLM: Exploring LLM-Guided Conversation with Applications in
Autobiography Interviewing.
Duan, J., Zhao, X., Zhang, Z., Ko, E., Boddy, L., Wang, C., Li, T.,
Rasgon, A., Hong, J., Lee, M. K., Yuan, C., Long, Q., Ding,
Y., Chen, T., & Xu, K.
In NACCL.
Website
Supporting Gig Worker Needs and Advancing Policy Through
Worker-Centered Data-Sharing.
Hsieh, J., Zhang, A., Rasetarinera, M., Chou, E., Ngo, D., Lightman,
K., Lee, M. K., & Zhu, H.
In arXiv preprint arXiv:2412.02973.
Website
Worker Data Collectives as a means to Improve Accountability,
Combat Surveillance and Reduce Inequalities.
Hsieh, J., Zhang, A., Kim, S., Rao, V. N., Dalal, S., Mateescu, A.,
Grohmann, R. D. N., Eslami, M., & Zhu, H.
In
Companion Publication of the 2024 Conference on
Computer-Supported Cooperative Work and Social Computing, 697-700.
Website
The AI-DEC: A card-based design method for user-centered AI
explanations.
Lee, C. P., Lee, M. K., & Mutlu, B.
In
Proceedings of the 2023 ACM Conference on Designing Interactive
Systems (DIS 2024), 1010-1028.
Website
Aligning data with the goals of an organization and its workers:
Designing data labeling for social service case notes.
Gondimalla, A., Sreekanth, V., Joshi, G., Nelson, W., Choi, E.,
Slota, S. C., Greenberg, S. R., Fleischmann, K. R., &
Lee, M. K.
In
Proceedings of the CHI Conference on Human Factors in Computing
Systems, 1-21.
Website
Data probes as boundary objects for technology policy design:
Demystifying technology for policymakers and aligning stakeholder
objectives in rideshare gig work.
Zhang, A., Rana, R., Boltz, A., Dubal, V., & Lee, M. K.
In
Proceedings of the CHI Conference on Human Factors in Computing
Systems, 1-21.
Website
An Exploration of LLM-Guided Conversation in Reminiscence
Therapy.
Duan, J., Zhao, X., Zhang, Z., Ko, E. G., Boddy, L., Wang, C., Li,
T., Rasgon, A., Hong, J., Lee, M. K., Yuan, C., Long, Q.,
Ding, Y., Chen, T., & Xu, K.
In
Neurips Workshop: GenAI for Health: Potential, Trust and Policy
Compliance.
Website
Designing LLM-based support for homelessness caseworkers.
Nelson, W., Lee, M. K., Choi, E., & Wang, V.
In
AAAI-2024 Workshop on Public Sector LLMs: Algorithmic and
Sociotechnical Design.
Website
Human-centered NLP fact-checking: Co-designing with fact-checkers
using Matchmaking for AI.
Liu, H., Das, A., Boltz, A., Zhou, D., Pinaroc, D., Lease, M., &
Lee, M. K.
In
Proceedings of the ACM: Human-Computer Interaction (CSCW 2024).
Website
Older adults’ trust and distrust in COVID-19 public health
information: Qualitative critical incident study.
Shiroma, K., Zimmerman, T., Xie, B., Fleischmann, K. R., Rich, K.,
Lee, M. K., Verma, N., & Jia, C.
In JMIR Aging, 6(1), e42517.
Website
Deliberating with AI: Improving Decision-Making for the Future
through Participatory AI Design and Stakeholder
Deliberation.
Zhang, A., Walker, O., Nguyen, K., Dai, J., Chen, A., &
Lee, M. K.
In
Proceedings of the ACM: Human-Computer Interaction (CSCW 2023)
1-32.
Open Access
LLMs and the infrastructure of CSCW.
Kulkarni, C., Wu, T., Holstein, K., Liao, QV., Lee, M. K.,
Lee, M., & Subramonyam, H.
In
Companion Publication of the 2023 Conference on Computer
Supported Cooperative Work and Social Computing
408-410.
Website
Ludification as a Lens for Algorithmic Management: A Case Study
of Gig-Workers’ Experiences of Ambiguity in Instacart Work.
Ramesh, D., Henning, C., Escher, N., Zhu, H., Lee, M. K., &
Banovic, N.
In
Proceedings of ACM Conference on Designing Interactive Systems
(DIS 2023)
1-14.
Website
Algorithmic Management: The Role of AI in Managing
Workforces.
Jarrahi, M. H., Möhlmann, M., & Lee, M. K.
In MIT Sloan Management Review 1-5.
Website
Creator-Friendly Algorithms: Behaviors, Challenges, and Design
Opportunities in Algorithmic Platforms.
Choi, Y., Kang, E. J., Lee, M. K., & Kim, J.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2023)
1-22.
Website
Stakeholder-Centered AI Design: Co-Designing Worker Tools with
Gig Workers through Data Probes.
Zhang, A., Boltz, A., Lynn, J., Wang, C. & Lee, M. K.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2023)
1-19.
Open Access
Learning Complementary Policies for Human-AI Teams.
Gao, R., Saar-Tsechansky, M., De-Arteaga, M., Han, L., Sun, W.,
Lee, M. K., & Lease, M.
In arXiv 1-34.
Open Access
Pedestrian Crash Frequency: Unpacking the Effects of Contributing
Factors and Racial Disparities.
Haddad, A. J., Mondal, A., Bhat, C., Zhang, A., Liao, M. C., Macias,
L. J., Lee, M. K., & Watkins, S. C.
In Accident Analysis & Prevention Volume 182, 1-15.
Website
IF-City: Intelligible Fair City Planning to Measure, Explain and
Mitigate Inequality.
Lyu, Y., Lu, H., Lee, M. K., Schmitt, G., & Lim, B. Y.
In
IEEE Transactions on Visualization and Computer Graphics
(TVCG)
1-18.
Website
Policy Optimization with Advantage Regularization For Long-Term
Fairness in Decision Systems.
Yu, E., Qin, Z., Lee, M. K., & Gao, S.
In
Advances in Neural Information Processing Systems (NeurIPS
2022)
1-14.
Open Access
Misinformation and COVID-19 Vaccine Hesitancy.
Zimmerman, T., Shiroma, K., Fleischmann, K., Xie, B., Jia, C.,
Verma, N., & Lee, M. K.
In Vaccine 136-144.
Open Access
Who Has an Interest in “Public Interest Technology”?: Critical
Questions for Working with Local Governments & Impacted
Communities.
Stapleton, L., Saxena, D., Kawakami, A., Nguyen, T., Tonya;
Ammitzbøll Flügge, A., Eslami, M.,Holten Møller, N.,
Lee, M. K., Guha, S., Holstein, K.
In
Companion Publication of the 2022 Conference on Computer
Supported Cooperative Work and Social Computing (CSCW 2022)
282-286.
Website
Understanding Effects of Algorithmic Vs. Community Label on
Perceived Accuracy of Hyper-Partisan Misinformation.
Jia, C., Boltz, A., Zhang, A., Chen, A., & Lee, M. K.
In
Proceedings of the ACM: Human-Computer Interaction: Issue CSCW
(CSCW 2022)
1-27.
Open Access
A Feeling for The Data: How Government and Nonprofit Stakeholders
Negotiate Value Conflicts in Data Science Approaches to Ending
Homelessness.
Slota, S., Fleischmann, K., Lee, M. K., Greenberg, S., Nigam,
I., Zimmerman, T., Rodriguez, S., & Snow, J.
In
Journal of the Association for Information Science and Technology
(JASIST)
1-15.
Website
Trust in COVID-19 Public Health Information.
Verma, N., Fleischmann, K., Zhou, L., Xie, B., Lee, M. K.,
Rich, K., Shiroma, K., Jia, C., & Zimmerman, T.
In
Journal of the Association for Information Science and Technology
(JASIST)
1776-1792.
Website
Algorithmic Management Reimagined For Workers and By Workers:
Centering Worker Well-Being in Gig Work.
Zhang, A., Boltz, A., Wang, C, & Lee, M. K.
In
Proceedings of 2022 CHI Conference on Human Factors in Computing
Systems (CHI 2022)
1-20.
Best Paper Honorable Mention
Open Access
Participatory Design of AI Systems: Opportunities and Challenges
Across Diverse Users, Relationships, and Application Domains.
Zytko, D., Wisniewski, P., Guha, S.,Baumer, E. PS., &
Lee, M. K.
In
Extended Abstracts of 2022 CHI Conference on Human Factors in
Computing Systems (CHI 2022)
1-4.
Website
Fairness and Transparency in Human-Robot Interaction.
Claure, H., Chang, M. L., Kim, S., Omeiza, D, Brandāo, M.,
Lee, M. K., & Jung, M.
In
Extended Abstracts of the 2022 ACM/IEEE International Conference
on Human-Robot Interaction (HRI 2022)
1244-1246.
Website
Folk Theories and User Strategies on Dating Apps.
Nader, K. & Lee, M. K.
In: Smits, M. (eds) Information for a Better World: Shaping the
Global future. iConference 2022. Lecture Notes in Computer
Science
13192, 445-458.
Website
FAQ Chatbot and Inclusive Learning in Massive Open Online
Courses.
Han, S. & Lee, M. K..
Computers & Education Volume 179, 104395, 1-13.
Website
Employment Relationships in Algorithmic Management: A
Psychological Contract Perspective.
Lee, M. K.* & Tomprou, M.*.
Computers in Human Behavior Article 106997, 1-12. *Equal
contribution
[Open Access]
Human-AI Collaboration with Bandit Feedback
Gao, R., Saar-Tsechansky, M., De-Arteaga, M., Han, L.,
Lee, M. K., & Lease, M.
In
Proceedings of International Joint Conference on Artificial
Intelligence (IJCAI 2021), 1-8.
[PDF]
Algorithmic Management in a Work Context
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C., Kinder,
E., & Sutherland, W.
Big Data & Society, 1-14.
[Open-Access]
Participatory Algorithmic Management: Elicitation Methods for
Worker Well-Being Models
Lee, M. K., Nigam, I., Zhang, A., Afriyie, J., Qin, Z., &
Gao, S.
In
Proceedings of the AAAI/ACM Conference on Artificial
Intelligence, Ethics, and Society (AIES 2021), 715-726.
[PDF]
Algorithmic Hiring in Practice: Recruiter and HR Professional’s
Perspectives on AI Use in Hiring
Li, L., Lassiter, T., Oh, J., & Lee, M. K.
In
Proceedings of the AAAI/ACM Conference on Artificial
Intelligence, Ethics, and Society (AIES 2021),
166-176. Oral presentation (9.6%)
[PDF]
Who Is Included in Human Perceptions of AI?: Trust and Perceived
Fairness around Healthcare AI and Cultural Mistrust
Lee, M. K. & Rich, K.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2021), Article 138. 14 pages.
[PDF]
TExSS: Transparency and Explanations in Smart Systems
Smith-Renner, A. M., Loizou, S. K., Dodge, J., Dugan, C.,
Lee, M. K., Lim, B. Y., Kuflik, T., Sarkar, A., Shulner-Tal,
A., & Stumpf, S.
In
Extended Abstracts of the 26th International Conference on
Intelligent User Interfaces (IUI 2021)
[PDF]
Conducting Quantitative Research with Hard-To-Reach-Online
Populations: Using Prime Panels to Rapidly Survey Older Adults
During a Pandemic
Verma, N., Shiroma, K., Rich, K., Fleischmann, K. R., Xie, B., &
Lee, M. K.
In Toeppe K., Yan H., Chu S. K. W. (eds)
Diversity, Divergence, Dialogue: iConference 2021. Lecture Notes
in Computer Science, vol 12646.
Springer. (Presentation, 10 pages).
[PDF]
Introduction to This Special Issue on Unifying Human Computer
Interaction and Artificial Intelligence
Choudhury, M. D., Lee, M. K., Zhu, H., & Shamma, D. A.
In Human–Computer Interaction, 1-7.
[PDF]
Human-Centered Approaches to Fair and Responsible AI
Lee, M. K., Grgić-Hlača, N., Tschantz, M. C., Binns, R.,
Weller, A., Carney, M., & Inkpen, K.
In Extended Abstracts of the 2020 CHI Conference on Human Factors in
Computing Systems (CHI 2020), 1-8.
[PDF]
Global Health Crises Are Also Information Crises: A Call to
Action
Xie, B., He, D., Mercer, T., Wang, Y., Wu, D., Fleischmann, K. R,
Zhang, Y., Yoder, L. H., Stephens, K. S., Mackert, M., &
Lee, M. K.
In
Journal of the Association for Information Science and Technology
(JASIST), 1-5.
[PDF]
WeBuildAI: Participatory Framework for Algorithmic
Governance
Lee, M. K., Kusbit, D., Kahng, A., Kim, J. T., Yuan, X.,
Chan, A., Noothigattu, R., See, D., Lee, S., Psomas, C. A., &
Procaccia, A.
In
Proceedings of the ACM : Human-Computer Interaction: Volume 3
Issue CSCW, November 2019. (CSCW 2019).
Article 181, 35 pages.
[PDF]
Procedural Justice in Algorithmic Fairness: Leveraging
Transparency and Outcome Control for Fair Algorithmic Mediation
Lee, M. K., Jain, A., Cha, H. J., Ojha, S., & Kusbit, D.
In
Proceedings of the ACM : Human-Computer Interaction: Volume 3
Issue CSCW, November 2019. (CSCW 2019).
Article 182, 26 pages.
[PDF]
Statistical Foundations of Virtual Democracy
Kahng, A., Lee, M. K., Noothigattu, R., Procaccia, A. D., &
Psomas, C. A.
In
Proceedings of the International Conference on Machine Learning
(ICML 2019), 3173-3182.
[PDF]
User Attitudes Towards Algorithmic Opacity and Transparency in
Online Reviewing Platforms
Eslami, M., Vaccaro, K., Lee, M. K., Elazari, A., Gilbert,
E., & Kahalios, K.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2019)
Paper No. 494.
[PDF]
Towards Peripheral Awareness of Remote Family Member's Context
Using Self-mobile Robotic Avatars (Demo)
Kang, B., Hwang, I., Lee, J., Lee, S., Lee, T., Chang, Y., &
Lee, M. K.
In
Proceedings of the 17th Annual International Conference on Mobile
Systems, Applications, and Services (MobiSys), 677-678.
Best Demo Award
[PDF]
Understanding Perception of Algorithmic Decisions: Fairness,
Trust and Emotion in Response to Algorithmic Management
Lee, M. K.
Big Data & Society (5)1.
[Open Access]
The Changing Contours of Participation in Data-driven,
Algorithmic Ecosystems: Challenges, Tactics, and an Agenda
Wolf, C. T., Zhu, H., Bullard, J., Lee, M. K., and Brubaker,
J. R.
In Companion of the 2018 ACM Conference on Computer Supported
Cooperative Work and Social Computing (CSCW), 377-384.
[PDF]
My Being to Your Place, Your Being to My Place: Co-Present
Robotic Avatars Create Illusion of Living Together
Kang, B., Hwang, I., Lee, J., Lee, S., Lee, T., Chang, Y., and
Lee, M. K
In Proceedings of the 16th Annual International Conference on Mobile
Systems, Applications, and Services (ACM MobiSys 2018), 54-67.
[PDF]
HomeMeld: Co-Present Robotic Avatar System for Illusion of Living
Together (Demo)
Kang, B., Hwang, I., Lee, J., Lee, S., Lee, T., Chang, Y., and
Lee, M. K.
In Proceedings of the 16th Annual International Conference on Mobile
Systems, Applications, and Services (ACM MobiSys 2018), 545-545.
[PDF]
Towards a Socially Responsible Smart City: Dynamic Resource
Allocation for Smarter Community Service
Tsai, H., Shoukry, Y., Lee, M. K., and Raman, V.
In
Proceedings of the 4th ACM International Conference on Systems
for Energy-E cient Built Environments (ACM BuildSys 2017).
[PDF]
A Human-Centered Approach to Algorithmic Services: Considerations
for Fair and Motivating Smart Community Service Management That
Allocates Donations to Non-Profit Organizations
Lee, M. K., Kim, J. and Lizarondo, L.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2017), 3365-3376.
[PDF]
Algorithmic Mediation in Group Decisions: Fairness Perceptions of
Algorithmically Mediated vs. Discussion-Based Social
Division
Lee, M. K. and Baykal, S.
In
Proceedings of the ACM Conference on Computer-Supported
Cooperative Work & Social Computing (CSCW 2017), 1035-1048.
Best Paper Honorable Mention
[PDF]
Algorithmic Bosses, Robotic Colleagues: Toward Human-Centered
Algorithmic Workplaces
Lee, M. K.
In
XRDS: Crossroads, The ACM Magazine for Students - The Future of
Work, 23(2), 42-47.
[PDF]
Algorithmic Authority: The Ethics, Politics, and Economics of
Algorithms that Interpret, Decide, and Manage
Lustig, C., Pine, K., Nardi, B., Irani, L., Lee, M. K.,
Nafus, D., & Sandvig, C.
In
Proceedings of the ACM/SIGCHI CHI Conference Extended Abstracts
on Human Factors in Computing Systems, 1057-1062.
[PDF]
Algorithms at Work: Empirical Diversity, Analytic Vocabularies,
Design Implications
Wagenknecht, S., Lee, M.K, Lustig, C., O'Neill, J., & Zade,
H.
In
Proceedings of the 19th ACM Conference on Computer Supported
Cooperative Work and Social Computing Companion, 536-543.
[PDF]
Personalization Revisited: A Reflective Approach Helps People
Better Personalize Health Services and Motivates Them to Increase
Physical Activity
Lee, M. K., Kim, J., Forlizzi, J. and Kiesler, S.
In
Proceedings of the ACM International Joint Conference on
Pervasive and Ubiquitous Computing (Ubicomp 2015), 743-754.
[PDF]
Working with Machines: The Impact of Algorithmic, Data-Driven
Management on Human Workers
Lee, M. K., Kusbit, D., Metsky, E. and Dabbish, L.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2015), 1603-1612.
[PDF]
Making Decisions From a Distance: The Impact of Technological
Mediation on Riskiness and Dehumanization
Lee, M. K., Fruchter, N., and Dabbish, L.
In
Proceedings of the ACM Conference on Computer Supported
Cooperative Work and Social Computing (CSCW 2015), 1576-1589.
[PDF]
Shop-i: Gaze-Based Interaction in the Physical World for In-Store
Social Shopping Experience
Kim, M., Lee, M. K., & Dabbish, L.
In
Proceedings of the 33rd Annual ACM Conference Extended Abstracts
on Human Factors in Computing Systems (CHI EA 2015), 1253-1258.
[PDF]
[VIDEO]
Designing Personalization in Technology-Based Services
Lee, M. K.
Doctoral dissertation.
[PDF]
Toward Seamless Human-Robot Handovers
Strabala, K., Lee, M. K., Dragan, A., Forlizzi, J.,
Srinivasa, S, Cakmak, M., and Micelli, V.
Journal of Human-Robot Interaction, 112-132.
[PDF]
Ripple Effects of Embedded Social Agents: Field Study of a Social
Robot in the Workplace
Lee, M. K., Kiesler, S., Forlizzi, J., and Rybski, P.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2012), 695-704. 23% acceptance rate.
[PDF]
Personalization in HRI: A Longitudinal Field Experiment
Lee, M. K., Forlizzi, J., Kiesler, S., Rybski, P., Antanitis,
J., and Savetsila, S.
In
Proceedings of the ACM/IEEE International Conference on Human
Robot Interaction (HRI 2012), 319-326. 25% acceptance rate.
[PDF]
A Fieldwork of the Future with User Enactments
Odom, W., Zimmerman, J., Davidoff, S., Forlizzi, J., Dey, A. K., and
Lee, M. K.
In
Proceedings of the ACM Conference on Designing Interactive
Systems (DIS 2012), 338-347. 26% acceptance rate.
Best Paper Award
[PDF]
Learning the Communication of Intent Prior to Physical
Collaboration
Strabala, K., Lee, M. K., Dragan, A., Forlizzi, J., and
Srinivasa, S
In
Proceedings of the IEEE Symposium on Robot and Human Interactive
Communication (RO-MAN 2012), 968-973.
[PDF]
“Now, I Have a Body”: Uses and Social Norms for Mobile Remote
Presence in the Workplace
Lee, M.K. and Takayama, L.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2011), 33-42. 26% acceptance rate.
Best Paper Honorable Mention
[PDF]
Mining Behavioral Economics to Design Persuasive Technology for
Healthy Choices
Lee, M.K., Kiesler, S., and Forlizzi, J.
In
Proceedings of the ACM/SIGCHI Conference on Human Factors in
Computing Systems (CHI 2011), 325-334. 26% acceptance rate.
[PDF]
Using Spatial and Temporal Contrast for Fluent Robot-Human
Hand-Overs
Cakmak, M., Srinivasa, S., Lee, M.K., Kiesler, S., and
Forlizzi. J.
In
Proceedings of the ACM/IEEE International Conference on Human
Robot Interaction (HRI 2011), 489-496. 22% acceptance rate.
[PDF]
Human Preferences in Robot-Human Hand-Over Configurations
Cakmak, M., Srinivasa, S., Lee, M.K., Forlizzi. J., and
Kiesler, S.
In
Proceedings of the IEEE/RSJ International Conference on
Intelligent Robots and Systems (IROS 2011), 1986-1993. 32% acceptance rate.
[PDF]
Believable Robot Characters
Simmons, R., Makatchev, M., Kirby, R., Lee, M. K., Fanaswala,
I., Browning, B., Forlizzi, J., and Sakr, M.
In AAAI AI Magazine, 32, 4, 39-52.
[PDF]
Understanding Users’ Perception of Privacy in Human-Robot
Interaction
Lee, M.K., Tang, K. P., Forlizzi, J., and Kiesler, S.
In
Late-breaking Reports of Human-Robot Interaction (HRI 2011),
181-182.
[PDF]
Predictability or Adaptivity? Designing Robot Handoffs Modeled
from Trained Dogs and People
Lee, M.K., Forlizz, J., Kiesler, S., Cakmak, M., and
Srinivasa, S.
In
Late-breaking Reports of Human-Robot Interaction (HRI 2011),
179-180.
[PDF]
Gracefully Mitigating Breakdowns in Robotic Services
Lee, M.K., Kiesler, S., Forlizzi, J., Srinivasa, S., and
Rybski, P.
In
Proceedings of the ACM/IEEE International Conference on Human
Robot Interaction (HRI 2010), 203-210. 21% acceptance rate.
Best Paper Award
[PDF]
Receptionist or Information Kiosk? How Do People Talk with a
Robot?
Lee, M.K., Kiesler, S., and Forlizzi, J.
In
Proceedings of the ACM Conference on Computer Supported
Cooperative Work (CSCW 2010), 31-40. 20% acceptance rate.
[PDF]
Dona: Urban Donation Motivating Robot
Kim, M.S., Cha, B.K., Park, D.M., Lee, S.M., Kwak, S., and
Lee, M.K.
In
Late-breaking Reports and Video Session of Human-Robot
Interaction (HRI 2010), 159-160.
Best Video Honorable Mention
[Video]
[PDF]
The Snackbot: Documenting the Design of a Robot for Long-Term
Human-Robot Interaction
Lee, M.K., Forlizzi, J., Rybski, P.E., Crabbe, F., Chung, W.,
Finkle, J., Glaser, E., and Kiesler, S.
In
Proceedings of the ACM/IEEE International Conference on Human
Robot Interaction (HRI 2009), 7-14. 19% acceptance rate.
[PDF]
Designing Adaptive Robotic Services
Lee, M.K., and Forlizzi, J.
In
Proceedings of the International Association of Societies of
Design Research (IASDR’09).
[PDF]
Tailoring Websites to Increase Contributions to Online
Communities
Lee, M.K., Dillahunt, T., Pendleton, B., Kraut, R., and
Kiesler, S.
In
Extended Abstracts of Human Factors in Computing Systems (CHI EA
2009), 4003-4008.
[PDF]
How Do People Talk with a Robot: An Analysis of Human-Robot
Dialogues in the Real World
Lee, M.K. and Makachev, M.
In
Extended Abstracts of Human Factors in Computing Systems (CHI EA
2009), 3769-3774.
[PDF]
Relating Initial Turns of Human-Robot Dialogues to
Discourse
Makachev, M., Lee, M.K., and Simmons, R.
In
Late-breaking Reports of Human-Robot Interaction (HRI 2009),
321-322.
[PDF]
Designing for Control: Finding Roles for Smart Homes
Lee, M.K., Davidoff, S., Zimmerman, J., and Dey, A.K.
In P. Desmet, J. van Erp, and M. Karlsson (eds.),
Design & Emotion Moves (pp. 246-266). UK:Cambridge Scholars
Publishing.
[PDF]
Rapidly Exploring Application Design through Speed Dating
Davidoff, S., Lee, M.K., Dey, A.K., and Zimmerman, J.
In
Proceedings of the International Conference on Ubiquitous
Computing (Ubicomp 2007), 429-446. 19% acceptance rate.
[PDF]
Smart Bag: Managing Home and Raising Children
Lee, M.K., Davidoff, S., Zimmerman, J., and Dey, A.K.
In
Proceedings of the International Conference on Designing
Pleasurable Products and Interfaces (DPPI 2007), 434 - 437.
[PDF]
Smart Homes, Families and Control
Lee, M.K., Davidoff, S., Zimmerman, J., and Dey, A.K.
In
Proceedings of the International Conference on Design & Emotion
(D&E 2006).
Best Paper Award
[PDF]
Principles of Smart Home Control
Davidoff, S., Lee, M.K., Yiu, C., Zimmerman, J., and Dey,
A.K.
In
Proceedings of the International Conference on Ubiquitous
Computing (Ubicomp 2006), 19-34. 13% acceptance rate.
[PDF]
Socially-Aware Requirements for a Smart Home for Families
Davidoff, S., Lee, M.K., Zimmerman, J., and Dey, A.K.
In
Proceedings of the International Symposium on Intelligent
Environments, 45-48.
I conduct research in the three complementary research threads:
We seek to gain novel understandings of human perception and trust, human decision-makers’ biases, and social practices around AI and algorithmic decisions.
Human Perspectives on AI Fairness & Equity
Human perceptions of fairness in algorithmic decisions for
resource allocation, healthcare, and managerial decisions such
as AI-based hiring.
📖 Related papers:
Perceptions of Algorithmic Decisions,
Procedural Justice Framework for AI,
Algorithmic Mediation & Fair Division Algorithm
Work Practices around AI
Perceptions and work practices around algorithmic management in
gig work, human resource management, and physician-patient
relationships.
📖 Related papers:
Working with Machines,
Perceptions of Algorithmic Decisions
We develop participatory methods and systems to empower workers and citizens to design AI systems for well-being, fairness and equity.
WeBuildAI
WeBuildAI framework that enables stakeholders to build
algorithmic models for their own communities, such as a donation
matching algorithm that adjudicates tradeoffs between equity and
efficiency.
📖 Related paper:
WeBuildAI
Participatory AI Governance & Management
Ongoing work on algorithmic shift scheduling, AI-assisted
hiring, gig work, and public resource allocation in city food
infrastructure.
📖 Related paper:
Worker Well-Being Model for Algorithmic Management
We explore data science and AI explainability to design decision-support tools for enhanced human decision-making.
Decision-Support Tool
Ongoing work on public assistance for people experiencing
homelessness, AI-assisted hiring, and strategies to tackle
misinformation on social media.
📖 Related papers:
Procedural Justice Framework for AI, Dynamic Resource Allocation for Community Service,
Fair Smart Community Service
How can we design robots that people enjoy living and working with?
How can telepresence improve the ways people collaborate and make decisions?
What design methods can help designers explore future technologies?
How Uber drivers feel about being managed by machines in Forbes, May 2018
Artificial intolerance in MIT Technology Review, March 2016
On-demand workers unite online to fight Uber and the gig economy in New Scientist, December 2015
When your boss is an Uber algorithm in MIT Technology Review, December 2015
Detest Uber’s surge pricing? Some drivers don’t like it either in CNET, August 2015
How Uber surge pricing really works in the Washington Post, April 2015
When your boss wears metal pants in Harvard Business Review, June 2015
How robots will work with us isn’t only a technological question in Harvard Business Review, March 2014
Why it’s bad to be a robot on the phone in The Atlantic, November 2014
Polite robot overlords will be more persuasive in IEEE Spectrum, March 2013
How a robot can replace you at work - and how it can’t in New Scientist, March 2011
Just like Mombot used to make in New York Times, February 2010
Snackbot: Polite host, research platform, vending machine on CNET, October 2009
The new Pittsburgh on CBS National News (Television), September 2009
Designing interactive systems: People, activities, contexts, technologies (Book), 2009. David Benyon, Phil Turner, and Susan Turner. Addison Wesley.
Mobile technology for children: Designing for interaction and learning (Book), 2009. Allison Drulin. Morgan Kaufmann
“The Kindness Lab” in Spirit Magazine, 2008
Universal methods of design: 100 ways to research complex problems, develop innovative ideas, and design effective solutions (Book), 2012. Bruce Hanington, Bella Martin. Rockport Publishers.
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December 2025 Co-organizing a meet-up, RAI@CHI: Responsible and Human Centred AI Across Borders at ACM CHI’26. Stay tuned. |
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December 2025 Co-organizing two ACM CHI workshops: Human-Centered Explainable AI (HCXAI): Re-examining XAI in the Era of Agentic AI, and Participation, Procurement & Proof of Impact in Public Sector AI Innovation. More information to come! |
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November 2025 Moderated the Good System’s panel on Responsible AI and User Needs with Andrew Smart, Meg Young, and Craig Watkins |
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November 2025 Invited to speak at the Algorithmic Work Roundtable |
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November 2025 Invited to speak at the Psychology of Technology Conference |
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October 2025 Won a grant to explore the impact of responsible AI on financial performance, funded by the Ford Foundation and the Omidyar Network |
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October 2025 Attended Big Brain Data’s Sandpit |
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October 2025 ACM CSCW 2025 paper on “Data and Technology for Equitable Public Administration: Understanding City Government Employees' Challenges and Needs” received a Best Paper Honorable Mention (top 5%) |
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June 2025 “Regulating Algorithmic Management: A Multi-Stakeholder Study of Challenges in Aligning Software and the Law for Workplace Scheduling” is published at ACM FAccT 2025 |
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May 2025 CHI 2025 paper “Gig2Gether: Datasharing to Empower, Unify and Demystify Gig Work” has received an honorable mention (top 5%) |
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May 2025 Co-organized a workshop titled “Emerging Practices in Participatory AI Design in Public Sector Innovation” at CHI 2025 |
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May 2025 “Knowledge Workers' Perspectives on AI Training for Responsible AI Use” has been presented at CHI 2025 |
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May 2025 “Proxona: Supporting Creators' Sensemaking and Ideation with LLM-Powered Audience Personas” has been presented at CHI 2025 |
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April 2025 Served on a panel at the Stanford AI x Culture Summit |
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March 2025 Invited to speak at the Harvard Program on Negotiation: AI Negotiation Summit |
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February 2025 Gave a keynote at the SIGCHI Korea-Top-conference Program |
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November 2024 Co-organizing the CSCW 2024 workshop “Worker Data Collectives as a Means to Improve Accountability, Combat Surveillance, and Reduce Inequalities.” Learn more on the workshop website. |
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October 2024 Gave a keynote at the AI and the Future Symposium at Kansas State University |
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October 2024 Co-organized the EURAM 2025 paper track on AI, Big Data, Algorithmic Management and Emerging Tech in Human Resources Management, Employment Relations, and Organizational Behaviours |
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September 2024 Co-organized a TAS workshop, "Human-AI Alignment: Developing a Research Agenda by Bridging Interdisciplinary Approaches" |
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July 2024 Honored to serve as a panelist at the White House Office of Science and Technology Policy (OSTP) event on Open by Design: Participatory Algorithm for Equity and Inclusion |
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June 2024 Served as a panelist at the Association of Public & Land-Grant Universities’s Commission on Information, Measurement, and Analysis Panel: AI Empowered Student Engagement and Success |
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April 2024 Gave a lecture as William Field Pierson Lecturer at Princeton University |
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April 2024 Gave a keynote at the MIDAS Ethical AI symposium at the University of Michigan, Ann Arbor, MI |
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April 2024 Received the Health IT SPARK grant on AI chatbot for dementia caregivers with hearing/vision impairment |
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November 2023 Served as a panelist for ACM CSCW panel, "LLMs and the Infrastructure of CSCW" |
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October 2023 Served as a panelist at (Dis)Trust and AI: Perspectives from Across Disciplines and Sectors |
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July 2023 Received the Swedish Research Council grant on algorithmic management at work. Excited to explore worker-centered interventions for algorithmic management on a global scale |
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June 2023 Awarded the NSF SCC grant on community-driven design of urban air mobility transportation management systems |
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November 2022 Co-organizing an ACM CSCW workshop, “Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments and Impacted Communities” |
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October 2022 Gave a talk at the Karolinska Institutet in Stockholm, Sweden |
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October 2022 Gave a keynote at the Augmented Intelligence at Work Symposium in Hanover, Germany |
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October 2022 Excited to NSF DASS funding on enabling standards- and disclosure-based regulations in and through software systems |
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October 2022 Received NSF CIVIC funding on co-creating a community platform for people experiencing homelessness |
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September 2022 Gave a keynote at the Image Conference in Austin |
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July 2022 Gave a talk at IDEA Institute on AI |
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May 2022 Excited to give a talk at the University of Oxford on Participatory Algorithmic Management |
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April 2022 Received an ACM CHI Best Paper Honorable Mention award for Remaining gigwork |
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April 2022 Served as a panelist for ACM CHI’22 panel on Participatory Design of AI systems |
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April 2022 Honored to give a talk as a Dr. Frederica Darema lecturer in CS at Illinois Institute of Technology |
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March 2022 Co-organized an ACM HRI 2022 workshop on Fairness and Transparency in HRI |
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August 2021 Gave an invited talk at the 35th International Workshop on New Technologies and Work (NeTWork): Safety in the Digital Age |
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August 2021 Excited to receive a NSF NRT-AI Grant for Ethical Robotics |
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August 2021 Gave a keynote at the International Conference on Women Scientists and Engineers on Biotechnology, Information Technology, Energy Technology, and Nano Technology |
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August 2021 Excited to receive 6-year grants for the Good Systems Projects on Racially Equitable AI and Misinformation |
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July 2021 Excited to receive a Swedish AFA Insurance grant on Algorithmic Management and Worker Health with Karolinska Institutet |
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June 2021 Humbled to serve as a ACM FAccT Conference Diversity and Inclusion Co-Chair for two years |
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June 2021 Gave a talk at the KAIST Graduate School of AI Colloquium |
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March 2021 Gave a talk at the Cyprus Center for Algorithmic Transparency (CyCAT) |
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Jan 2021 A new CHI paper titled Who Is Included in Human Perceptions of AI?: Trust and perceived fairness around healthcare AI and cultural mistrust |
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November 2020 Gave a talk titled "Centering racial equity in AI fairness" at the UT Austin Good Systems Panel for AI and the Future of Racial Justice. |
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October 2020 Gave a Data Science seminar talk titled "AI for all: Enabling participatory and procedurally-fair AI" at the Seoul National University |
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September 2020 Organizing an IUI workshop on XAI for social justice |
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August 2020 Serving as an Area Chair for ACM FAccT 2021 |
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August 2020 Received a NSF Smart & Connected Communities (SCC) grant on Empowering Gig Workers Through Building A Community-Centered Gig Economy |
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June 2020 Gave an invited talk at Assured Autonomy Workshop on responsible autonomy |
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May 2020 Received a NSF RAPID grant on Trust in Public Health Information During a Pandemic |
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Mar 2020 Gave a AI seminar at UC San Diego on Fair and Participatory AI for all |
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Jan 2020 Received a NSF Fairness in Artificial Intelligence (FAI) grant on Advancing Fairness in AI with Human-Algorithm Collaborations |
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Dec 2019 Leading the CHI2020 workshop on Fair & Responsible AI |
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Dec 2019 Received a UT Healthcare Technology, Communication, & Privacy seed grant |
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July 2019 Two papers at CSCW 2019: WeBuildAI: Participatory Framework for Algorithmic Governance and Procedural Justice in Algorithmic Fairness |
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July 2019 Gave a talk titled "Procedural Justice in Algorithmic Fairness: Transparency, Control and Participation Perspectives" at Simons Institute Workshop on Recent Developments in Research on Fairness |
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June 2019 WeBuildAi and algorithmic participation received Popular Poster Award at the Mechanism Design for Social Good Workshop |
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June 2019 Gave a talk on Algorithmic Management for Empowerment at HCI Consortium 2019 on the Futures of Work |
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June 2019 Presented WeBuildAI at Collective Intelligence |
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June 2019 HomeMeld Telepresence received Best Demo Award |
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May 2019 Received a new grant from Block Center for Technology and Society for my project on fair AI and community participation |
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April 2019 Paper on statistical foundation of virtual democracy accepted to ICML 2019 |
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February 2019 Co-editing Special Issue on Unifying HCI and AI for HCI Journal |
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January 2019 Giving guest lecture titled Social Considerations for Algorithmic Fairness for the Interpretable Machine Learning class |
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January 2019 Giving a talk at Stanford Seminar on Computers, People and Design |
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November 2018 Giving guest lecture titled Algorithmic Management for the AI for Public Policy class |
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November 2018 Co-organizing Participation in Algorithmic Ecosystems Workshop at CSCW |
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July 2018 Attending the CSST Decennial Sociotech Futures Symposium |
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May 2018 Serving as CHI 2019 Program Committee Associate Chair |
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May 2018 Giving guest lecture titled Methods for Studying Human-AI Interaction for the Integrated Intelligence in Robotics |
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April 2018 Giving guest lecture titled Design of Future Robotic Services for the Programming Usable Interfaces class |
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January 2018 Delighted that our project on a fair algorithm is selected as one of two recipients of the Uptake Machine Learning for Social Good Funding |
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December 2017 My paper on perceptions of algorithmic decisions accepted to Big Data & Society |
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December 2017 Presented at a NSF Workshop on Trustworthy Algorithmic Decision-Making |
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December 2017 Visiting Microsoft Research NYC to give a seminar talk |
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October 2017 Became editorial board for ACM Transactions of Human-Robot Interaction as Associate Editor |
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May 2017 Serving as CHI 2018 Program Committee Associate Chair |
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April 2017 Giving guest lecture titled "Designing Fair Algorithmic Services" for the Designing Environments for Interaction class |
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April 2017 Invited to speak at Psychology of Technology Conference |
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March 2017 Serving as CHI 2017 Telepresence Chair with Carman Neustaedter |
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Febraury 2017 Received CSCW Best Paper Honorable Mention for algorithmic mediation & fair division algorithms |
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December 2016 Paper on fair algorithmic services accepted to CHI 2017 |
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November 2016 Virtually attended the HRI 2017 Program Committee meeting |
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September 2016 Excited about my new NSF funding on a smart community service for the homeless population |
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June 2016 Presented my work on algorithmic management of Uber/Lyft drivers at the Society for the Advancement of Socio-Economics (SASE) Conference |
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April 2016 Gave a seminar at UC Berkeley School of Information, video recorded here |
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March 2016 My fieldwork with Snackbot featured in MIT Technology Review |
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January 2016 Excited to be on the CHI panel on Algorithmic Authority |