AI governance: themes, knowledge gaps and future agendas
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Abstract
Purpose Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas. Design/methodology/approach The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended…
Citation impact
198
total citations
- FWCI
- 47.78
- Percentile
- 100%
- References
- 111
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Conceptualization
- Operationalization
- Corporate governance
- Systematic review
- Scholarship
- Context (archaeology)
- Engineering ethics
- Stakeholder
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