Paper Type
ERF
Abstract
AI-enabled tools present a dual role in project privacy management: they introduce privacy risks while offering mitigation capabilities. Although prior research documents AI applications across project management processes, privacy risk management in AI-enabled projects remains theoretically underdeveloped and lacks lifecycle-contingent guidance across predictive, adaptive, and hybrid environments. Grounded in PMBOK 8’s Risk performance domain, this study develops the LENS Framework (Lifecycle-Evolving Navigation for Privacy Strategies), a lifecycle-contingent approach for managing privacy risks in AI-enabled projects. Using Design Science Research methodology, the framework proposes strategies that balance AI’s risk–remedy paradox across development lifecycles. Contributions include the LENS Framework with three integrated components (Risk-Remedy Paradox Model, AI Tool Privacy Profiles, Lifecycle-Contingent Strategies) and practical guidance for responsible AI adoption in projects.
Paper Number
1166
Recommended Citation
Niroomand, Hajar and Noteboom, Cherie Bakker, "LENS: Managing Privacy Risks Across AI-Enabled Project Lifecycles" (2026). AMCIS 2026 Proceedings. 1.
https://aisel.aisnet.org/amcis2026/sig_itpm/sig_itpm/1
LENS: Managing Privacy Risks Across AI-Enabled Project Lifecycles
AI-enabled tools present a dual role in project privacy management: they introduce privacy risks while offering mitigation capabilities. Although prior research documents AI applications across project management processes, privacy risk management in AI-enabled projects remains theoretically underdeveloped and lacks lifecycle-contingent guidance across predictive, adaptive, and hybrid environments. Grounded in PMBOK 8’s Risk performance domain, this study develops the LENS Framework (Lifecycle-Evolving Navigation for Privacy Strategies), a lifecycle-contingent approach for managing privacy risks in AI-enabled projects. Using Design Science Research methodology, the framework proposes strategies that balance AI’s risk–remedy paradox across development lifecycles. Contributions include the LENS Framework with three integrated components (Risk-Remedy Paradox Model, AI Tool Privacy Profiles, Lifecycle-Contingent Strategies) and practical guidance for responsible AI adoption in projects.
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