About


Our research aims to build more just and empowering workplaces and cities by creating technology that supports and strengthens individual and collective human decision-making. We explore psychological understandings of AI and develop human-centered methods and systems for better AI-integrated workplaces, smart communities and cities, and online information.

We collaborate with City of Austin, ECHO, and Dell Medical School. Our work is possible thanks to the National Science Foundation, Good Systems, and Humanities Institute.

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Psychological Understandings of AI

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Participatory Systems for Human-Centered AI

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Data Science and AI Explainability

News


May 2021

Two papers, "Recruiter and HR Professional’s Perspective on AI Use in Hiring" and "Participatory Algorithmic Management for Worker Well-Being", have been accepted to AIES 2021

May 2021

"Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust" has been accepted to ACM CHI 2021

Aug 2020

Dr. Min Kyung Lee is serving as an Area Chair for ACM FAccT 2021

Aug 2020

The HAI Lab has received an NSF Smart & Connected Communities (SCC) grant on Empowering Gig Workers Through Building A Community-Centered Gig Economy

May 2020

The HAI Lab has received an NSF RAPID grant on Trust in Public Health Information during a Pandemic

Jan 2020

The HAI Lab has received an NSF Fairness in Artificial Intelligence (FAI) grant on Advancing Fairness in AI with Human-Algorithm Collaborations