Paper Number
ICIS2025-1150
Paper Type
Short
Abstract
This study investigates how organizations can achieve responsible governance of generative AI (GenAI) for knowledge management. Drawing on a case study of a leading cybersecurity vendor, we propose a two-phase governance framework - responsible externalization and responsible internalization. This framework addresses challenges of GenAI-enabled knowledge creation, ensuring tacit knowledge is reliably standardized and explicit knowledge responsibly recontextualized. Our findings show how organizations can govern AI-generated knowledge into reliable, accountable forms that enhance knowledge creation and support responsible GenAI use.
Recommended Citation
Wang, Belinda Yichen; Boell, Sebastian; and Sun, Yuan, "Navigating the Complexities of Organizational Knowledge Management in the Age of Generative AI" (2025). ICIS 2025 Proceedings. 2.
https://aisel.aisnet.org/icis2025/ethical_is/ethical_is/2
Navigating the Complexities of Organizational Knowledge Management in the Age of Generative AI
This study investigates how organizations can achieve responsible governance of generative AI (GenAI) for knowledge management. Drawing on a case study of a leading cybersecurity vendor, we propose a two-phase governance framework - responsible externalization and responsible internalization. This framework addresses challenges of GenAI-enabled knowledge creation, ensuring tacit knowledge is reliably standardized and explicit knowledge responsibly recontextualized. Our findings show how organizations can govern AI-generated knowledge into reliable, accountable forms that enhance knowledge creation and support responsible GenAI use.
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05-ResponsibleIS