Control theory in the age of generative AI: The case of stack overflow

Scholtz, Dewan, Griva, Anastasia, Conboy, Kieran, & Zamani, Efpraxia. (2025). Control theory in the age of generative AI: The case of stack overflow. Paper presented at the UKAIS2025: Shaping the Future of Academia: The Impact of AI on Teaching, Research, and Scholarship, Newcastle University Business School, England, 23-24 April.

Abstract

This paper aims to investigates the influence of Generative AI (GAI) on control modes, styles and purpose within open-knowledge networks, using Stack Overflow as a case study. Traditionally, control mechanisms on Stack Overflow are largely informal and rely on a merit-based reputation system that incentivizes high-quality, contributions from a community of over 23 million developers. However, the introduction of GAI disrupts these established control dynamics, challenging the integrity of knowledge validation processes and altering accountability structures. Analysis reveals that GAI’s influence shifts the network from structured controls to a discourse-driven environment – which is not a static state. Insights on the role of GAI in these changes suggest that control structures, particularly driven by merit-based activities, are greatly under pressure as the human mimicking nature of this technology introduces various challenges.

Funder

Taighde Éireann – Research Ireland
University of Galway

Publisher

UK Academy for Information Systems (UKAIS)

Rights

CC BY-NC-ND

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