Designing socio-technical controls for autonomous AI systems: An approach for responsible enterprise adoption

Authors

Surabhi Nigam, UQ Business School, The University of Queensland, Brisbane, AustraliaFollow
Ida Someh, UQ Business School, The University of Queensland, Brisbane, AustraliaFollow
Marta Indulska, UQ Business School, The University of Queensland, Brisbane, AustraliaFollow
Shazia Sadiq, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, AustraliaFollow

Abstract

The release of Artificial Intelligence (AI) agents has led to a rapid surge in AI adoption across organisations. With rapid adoption, there is a rise in concerns about unknown risks and the potential negative impact on the organisations and broader society. As an attempt to mitigate such risks, this project will explore socio-technical control practices for autonomous AI systems in an enterprise setting. The goal is to develop a cross-disciplinary understanding of controls through synthesising learnings from information systems, management and engineering disciplines and developing an integrate AI controls framework that will guide responsible adoption and use of autonomous AI systems.

Recommended Citation

Nigam, Surabhi; Someh, Ida; Indulska, Marta; and Sadiq, Shazia, "Designing socio-technical controls for autonomous AI systems: An approach for responsible enterprise adoption" (2025). ACIS 2025 Proceedings. 70.
https://aisel.aisnet.org/acis2025/70