Diffusion of AI Governance

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationMWAIS 2022 Proceedings
Publication statusPublished - May 2022

Other

Title17th Annual Midwest Association for Information
Systems Conference (MWAIS 2022)
LocationUniversity of Nebraska Omaha
PlaceUnited States
CityOmaha
Period16 - 17 May 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.

Research Area(s)

  • Artificial Intelligence (AI), Governance Framework

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Diffusion of AI Governance. / Chen, Langtao; Eschenbrenner, Brenda; Nah, Fiona et al.

MWAIS 2022 Proceedings. 2022.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review