OUR VISION
To be a global leader at the intersection of business analytics, digital technology, and artificial intelligence through world-class research and teaching programs.
OUR MISSION
Advance research and educational programs to educate students through innovative curricula and empower organizations with the power of data, analytics and artificial intelligence.
Institute Activities
The Bauer Human-Centered Artificial Intelligence Institute aims at enhancing student experience, creating industry collaboration, and increasing research output by fostering interdisciplinary research collaborations across departments and with industry partners.
Outreach and Executive Education
General AI Executive Education; AI and Teaching Bootcamp; Customized Professional Development Offerings and Executive Education
Education on Decision-Making for the AI Age
Mini-MBA with AI Focus; Non-Degree Seeking Certificate in AI
Interdisciplinary weekly seminars with C. T. Bauer College of Business faculty and students on burgeoning AI topics.
Read about University of Houston AI activities and programs.
Join the Human-Centered AI Student Society (HCAISS)
HCAISS is an interdisciplinary student organization supported by the Human-Centered AI Institute (HCAII) at the University of Houston. We are focused on helping students explore human-centered artificial intelligence and investigate how AI is affecting different industries, careers, and areas of study. Our goal is to create a space where students from all majors and backgrounds can learn about AI, develop practical skills, discuss its impact on people and organizations, and connect with other students who share an interest in the field.
LinkedIn: https://www.linkedin.com/in/hcaissuh
Interest Form: https://forms.gle/diJBXzupsywf3bLN8
Interdisciplinary Data-Driven AI Research
Hou, J., Yang, S., Xiong, G., & Pavlou, P. (2025). Enhancing AI-Assisted Purchase Decisions: The Role of the Sense of Autonomy. MIS Quarterly, forthcoming.
Jiang, D. L., Ye, S., Zhao, L., & Gu, B. (2025). Do reductions in search costs for partial information on online platforms lead to better consumer decisions? Evidence of cognitive miser behavior from a natural experiment. Information Systems Research, forthcoming.
Lee, B. C., & Chung, J. (2024). An empirical investigation of the impact of ChatGPT on creativity. Nature Human Behaviour, 1-9.
Gargano, A., & Rossi, A. G. (2024). Goal setting and saving in the fintech era. The Journal of Finance, 79(3), 1931-1976.
Hou, T., Li, M., Tan, Y., & Zhao, H. (2024). Physician adoption of AI assistant. Manufacturing & Service Operations Management, 26(5), 1639-1655.
Jiang, L., Hou, J., Ma, X., & Pavlou, P. A. (2025). Punished for success? A natural experiment of displaying clinical hospital quality on review platforms. Information systems research, 36(1), 285-306.
Cui, R., Li, M., & Zhang, S. (2022). AI and procurement. Manufacturing & Service Operations Management, 24(2), 691-706.
Li, B., & Venkatachalam, M. (2022). Leveraging big data to study information dissemination of material firm events. Journal of Accounting Research, 60(2), 565-606.
Li, M., & Li, T. (2022). AI automation and retailer regret in supply chains. Production and Operations Management, 31(1), 83-97.