Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2024
Abstract
With rapid integration of AI technologies into business operation, ethical issues associated with AI development, implementation, and deployment, has become increasingly conspicuous. An effective measure of firm-level AI Ethical Awareness (FAIEA) is crucial for both academics and practitioners to assess FAIEA efficiently. In this study, based on qualitative information in earning conference call, we construct and validate a firm specific measure of FAIEA. Upon establishing a reliable measure, we explore the determinants and consequence of FAIEA. We find Corporate Social Responsibility (CSR) engagement and the presence of a Chief Information Officer (CIO) as key determinants of higher FAIEA, suggesting the responsible business practices and CIOs with AI expertise and business knowledge play a critical role in perceiving AI ethical challenges. Furthermore, firms with higher FAIEA in turn restrict firms’ real earnings management and increase voluntary disclosure to enhance firm transparency and stakeholder relations.
Keywords
AI ethical awareness, Firm-level AI Ethical Awareness efficiency, FAIEA, AI ethical determinants, AI ethical validation, AI ethical consequences
Discipline
Databases and Information Systems | Industrial and Organizational Psychology
Publication
Proceedings of the Americas Conference on Information Systems (AMCIS 2024) : Salt Lake City, Utah, USA, August 15-17
First Page
1764
Last Page
1773
Publisher
AIS Electronic Library
City or Country
Salt Lake City, USA
Citation
MA, Yan and HU, Nan.
Firm-level AI ethical awareness: measurement and effects. (2024). Proceedings of the Americas Conference on Information Systems (AMCIS 2024) : Salt Lake City, Utah, USA, August 15-17. 1764-1773.
Available at: https://ink.library.smu.edu.sg/sis_research/9745
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Industrial and Organizational Psychology Commons
Comments
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