Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship
In Plain Terms
This ICIS TREO talk raises provocative questions about how teams of AI agents might reshape information systems scholarship. It weighs both the promise and the risks of AI-augmented research, considering how role-differentiated agents could work alongside human researchers without compromising rigor or ethics.
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Cite this
APA Ampel, B. M., & Ullman, S. (2025). Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship. In International Conference on Information Systems (ICIS) Technology, Research, Education, and Opinion (TREO) Talks.
BibTeX
@inproceedings{ampel2025multiagentb,
title={Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship},
author={Benjamin M. Ampel and Steven Ullman},
booktitle={International Conference on Information Systems (ICIS) Technology, Research, Education, and Opinion (TREO) Talks},
year={2025}
}
Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, Center for CyberAI Research (CCAIR)
My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.