Situating Artificial Intelligence in Organization: A Human-machine Relationship Perspective

Xin Li, Ke Rong, Xinwei Shi*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The increasing advancements in artificial intelligence (AI) technology have resulted in greater adoption of intelligent devices, such as industrial and service robots. Such context substantially influences the routine processes of operations, thereby promoting the ongoing evolutionary development of human-machine interaction. Here, we analyze an interesting article published in the Academy of Management Review (AMR) by Ayenda Kemp, who proposes the concept of situated AI for discussing AI-driven competitive advantages. In our alternative framework of situating AI in the organization, we identify three aspects of the human-machine relationship—cohesion, autonomy, and equality—and associate them with three redefined situating activities—anchoring, bounding, and calibrating, to bring the full potential of AI to an organization. We believe this defined framework can further contribute to relevant literature in the field of digital economy.
Original languageEnglish
JournalJournal of Digital Economy
Number of pages6
ISSN2773-0670
DOIs
Publication statusPublished - 7 Jan 2024
Externally publishedYes

Bibliographical note

Epub ahead of print. Published online: 7. January 2024.

Keywords

  • Artificial intelligence
  • Competitive advantages
  • Strategic management
  • Human-machine interaction
  • Digital economy

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