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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Citation
Benjamin M. Ampel & Steven Ullman (2025). Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship. ICIS TREO
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.