Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
5-2022
Abstract
Artificial intelligence (AI) has the potential to address social, economic, and environmental challenges. However, effective use of AI in organizations relies on the establishment of an AI governance framework. Although existing studies have discussed a variety of issues raised by AI-based systems and proposed AI governance frameworks to overcome those issues, organizations face challenges in adopting AI governance. Informed by innovation diffusion theory, this research evaluates the impact of internal and external influences on AI governance adoption between highly regulated and less regulated industries. We also assess the effect of adopting AI governance on organizational performance. Findings from this study will not only provide a nuanced understanding of the source of AI governance adoption, but also provide implications and guidelines for implementing AI governance in organizations.
Keywords
AI governance, Organizational adoption, Innovation diffusion, Organizational performance, Social systems
Discipline
Artificial Intelligence and Robotics | Technology and Innovation
Research Areas
Data Science and Engineering; Information Systems and Management; Intelligent Systems and Optimization
Publication
Proceedings of the 17th Midwest Association for Information Systems Conference, Nebraska, USA, 2022 May 16-17
First Page
1
Last Page
3
Publisher
AIS
City or Country
Atlanta
Citation
CHEN, Langtao; ESCHENBRENNER, Brenda; NAH, Fiona Fui-hoon; SIAU, Keng; and QIAN, Yuzhou.
Diffusion of AI governance. (2022). Proceedings of the 17th Midwest Association for Information Systems Conference, Nebraska, USA, 2022 May 16-17. 1-3.
Available at: https://ink.library.smu.edu.sg/sis_research/9467
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.