City Research Online

Abstract

To what extent are “generative AI” (as a machine-based form of decision-making) and “generative dialogue” (as a human-based form of decision-making) complimentary or competing? What takes precedence in generative change processes? More fundamentally, should generative artificial intelligence (AI) processes assist human decision-making or should human processes assist generative AI decision-making? The possible implications of these questions are explored. Moreover, it is posited that as generative AI evolves and gains more traction in organizational change initiatives, it is important that it is deployed in ways that support generative conversations rather than ways that undermine or replace them.

Publication Type:	Article
Additional Information:	Copyright © 2024, the author.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	Bayes Business School Bayes Business School > Management
SWORD Depositor:	Symplectic Administrator

Export

Downloads