Firm-Level AI Ethical Awareness: Measurement and Effects

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication30th Americas Conference on Information Systems, AMCIS 2024
PublisherAssociation for Information Systems
ISBN (Electronic)9798331307066
StatePublished - 2024
Externally publishedYes
Event30th Americas Conference on Information Systems, AMCIS 2024 - Salt Lake City, United States
Duration: 15 Aug 202417 Aug 2024

Publication series

Name30th Americas Conference on Information Systems, AMCIS 2024

Conference

Conference30th Americas Conference on Information Systems, AMCIS 2024
Country/TerritoryUnited States
CitySalt Lake City
Period15/08/2417/08/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • AI ethical
  • Awareness
  • Determinants and Consequence
  • Validation

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