Multi-Agent Systems for Information Systems Research: A Framework for Collaborative AI-Augmented Inquiry
In Plain Terms
This workshop paper proposes a framework for using teams of specialized AI agents to assist with information systems research. It describes how multiple agents can collaborate across stages of the research process while keeping humans in control and preserving scholarly rigor, outlining design principles such as clear agent roles and coordination protocols.
Artifacts
Related Papers
Cite this
APA Ampel, B. M., & Ullman, S. (2025). Multi-Agent Systems for Information Systems Research: A Framework for Collaborative AI-Augmented Inquiry. In Pre-ICIS SIG Services Workshop.
BibTeX
@inproceedings{ampel2025multiagenta,
title={Multi-Agent Systems for Information Systems Research: A Framework for Collaborative AI-Augmented Inquiry},
author={Benjamin M. Ampel and Steven Ullman},
booktitle={Pre-ICIS SIG Services Workshop},
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.