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Artificial Intelligence &
OrgLab studies the evolving role of Artificial Intelligence in reshaping work and organizational processes. Through interdisciplinary studies - from qualitative fieldwork to quantitative modeling - we investigate how AI use transforms job profiles, skill requirements, and organizational structures. By critically examining both the benefits and unintended consequences, our research provides a nuanced foundation for evidence-based strategies in the rapidly changing landscape of work.
Crowston, K., & Bolici, F. (2025). Deskilling and upskilling with AI systems. Information Research an international electronic journal, 30(iConf), 1009-1023.
Varone, Crowston & Bolici (2025). Short-Term Gain, Long-Term Pain? A Conceptual Model on AI’s Impact on Human Skill Development. Presented at the 41st EGOS Colloquium, Athens - Greece.
Bolici, Crowston, Varone & Fudge (2025). Rethinking Programming Skills in the Age of Generative AI.
Bolici, Varone & Diana (2025). Beyond AI Automation: How Replace, Reinforce, Reveal, and Orchestrate Modes Align Task Interdependence and Organizational Design for Effective AI Implementation. Presented at the Theorizing Data & AI Workshop 2025, Amsterdam - Netherlands
Bolici, Varone & Diana (2024). From a Task-Centered Approach to Interdependent Activities: Revealing Gaps in Generative AI Research on Coordination and Cooperation. In Proceedings of ItAIS 2024.
Crowston and Bolici (2019). Impacts of Machine Learning on Work. In Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
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