About
Kambiz Saffari (Saffarizadeh) is an assistant professor of information systems at the University of Texas at Arlington. His research focuses on artificial intelligence (AI) alignment, human-AI collaboration, and algorithmic decision-making. He has published in various outlets, including MIS Quarterly, the Journal of Management Information Systems, and the Journal of the Association for Information Systems.
Saffarizadeh is a recipient of the Rising STARs Award from the State of Texas and has been recognized as an AIS Distinguished Member. He has also received AIS Community Leadership recognition for his service as co-founder and president of the Iranian Scholars Chapter by the Association for Information Systems. He has developed several courses on emerging technologies, machine learning, and mobile application development. He holds a PhD from Georgia State University. Before joining academia, he spent several years in software development and managerial roles in the industry.
Appointments
- Assistant ProfessorUniversity of Texas at Arlington2024–
- Assistant ProfessorMarquette University2020–24
Education
- Ph.D. in Computer Information SystemsGeorgia State University2015–20
- Master of Business AdministrationSharif University of Technology2012–14
- B.S.E. in Mechanical EngineeringSemnan University2004–09
Publications
Journal Articles
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2026Information Systems Journal
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2026Communications of the Association for Information Systems
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2025MIS Quarterly, 49(2), 429–464
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2025Behaviour & Information TechnologySupported by the Northwestern Mutual Data Science Institute grant.
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2024Journal of Management Information Systems, 41(3), 645–681
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2024Journal of the Association for Information Systems, 25(3), 528–568
Refereed Conference Proceedings
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2018Update Assimilation in App Markets: Is There Such a Thing as Too Many Updates?International Conference on Information Systems (ICIS)Nominated for best paper award.
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2017Conversational Assistants: Investigating Privacy Concerns, Trust, and Self-DisclosureInternational Conference on Information Systems (ICIS)
Working Papers
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R&RCreative Gains, Reputational Strains: Generative AI Elevates Style and Aesthetic Quality but Triggers Spillovers on Non-AI ArtworksIn preparation for a 3rd round review
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R&RWhen Should AI Challenge Us? Designing AI Feedback to Break the AI Echo Chamber in Human-AI Creative CollaborationIn preparation for a 2nd round review
Teaching
- Advanced AI for BusinessINSY 5378 | 5376
- Artificial Intelligence for BusinessINSY 4391 | 3331
- Generative AI for BusinessINSY 4391
- Python ProgrammingINSY 5336
Awards and Grants
Awards
- 2025AIS Distinguished MemberAssociation for Information Systems
- 2025Distinguished Research Publication AwardUniversity of Texas at Arlington
- 2025Nominated for Reviewer of the YearMIS Quarterly
- 2022Outstanding Reviewer AwardAmericas Conference on Information Systems (AMCIS)
- 2020GTA Teaching Excellence AwardGeorgia State University
Grants
- 2024Rising STARs AwardState of Texas, $70,385
- 2023Data Science Institute GrantNorthwestern Mutual, $50,000
Service
Editorial
- Associate EditorInternational Conference on Information Systems (ICIS)2025–26
- Session ChairInternational Conference on Information Systems (ICIS)2025
Reviewing
90 reviews across journals and conferences.
Institutional
- GPU Cluster Task ForceUniversity of Texas at Arlington2024–26
- Analytics Curriculum Task ForceUniversity of Texas at Arlington2024–25
- Business Analytics Oversight CommitteeMarquette University2021–24
- Academic Integrity CouncilMarquette University2020–23
Media Coverage
- 2025Evidence shows AI systems are already too much like humans. Will that be a problem?The Conversation
- 2018Voice assistants will have to build trust before we're comfortable with them tracking usInternet Retailing
Contact
kambiz.saffari@uta.eduCollege of Business
701 S. West Street
Arlington, TX 76010