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Mapping the Generative AI Risk Space

Leaders must first understand where risks emerge to manage GenAI risk effectively, as described in this audio edition of the January 2026 research briefing.
By Nick van der Meulen, Hippolyte Lefebvre, and Barbara H. Wixom
Abstract

Generative AI (GenAI) risks have multiplied as organizations progress from GenAI tools and solutions to AI agents—amplified by massive, decentralized demand. But not all risks are alike. This briefing maps the GenAI risk space, identifying which components of GenAI implementations give rise to risk: from training data and foundation models through prompts, outputs, and use decisions. RAG and AI agents expand this space further. Drawing on 62 interviews with data and technology executives, we distinguish embedded risks—inherited with the technology—from enacted risks, which emerge from organizational choices. Each type of risk requires a different response. Leaders should inventory their GenAI deployments, assign accountability, and establish audit trails that log prompts, outputs, and human interventions.

The January 2026 research briefing is read by author Nick van der Meulen.

DOWNLOAD THE TRANSCRIPT

Follow the research briefing podcast series on SoundCloud.

© 2026 MIT Center for Information Systems Research, Van der Meulen, Lefebvre, and Wixom. MIT CISR Research Briefings are published monthly to update the center’s member organizations on current research projects.

About the Researchers

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Hippolyte Lefebvre, Assistant Professor in Management Information Systems, University College Dublin and Research Collaborator, MIT CISR

MIT CENTER FOR INFORMATION SYSTEMS RESEARCH (CISR)

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