AI Ethics in Learning Organizations
Dörfler, Viktor (2025) AI Ethics in Learning Organizations. In: AoM 2025: 85th Annual Meeting of the Academy of Management, 2025-07-25 - 2025-07-29, Bella Center Copenhagen. (In Press)
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Abstract
Artificial Intelligence (AI) has permeated various facets of life. This also means that most decision-making, problem-solving, creative processes, and generally everything that involves human cognition can be affected and thus needs to be reevaluated. As all our decisions and most of our cognitive activities have a moral dimension, this PDW posits that we need to not only think of AI ethics but also rethink our whole approach to ethics. Our starting point for the workshop is that we do not have AI ethics problems. We have ethics problems. AI amplifies them. This realization implies two critical considerations for contemporary organizations: First, AI ethics becomes the responsibility of each and every manager and by extension of management scholars who study, educate, and advise managers. Second, there is an urgent need to reassess our understanding of managerial and organizational cognition and particularly of the underlying notion of learning organizations, as we need to revise core concepts of knowledge, learning, and cognition and integrate ethics into this redefined framework. This PDW is of potential interest to a large and diverse audience across AoM, as AI stands as a pivotal topic in management scholarship, with hitherto unforeseeable consequences for management and organizations, and we need to rethink the whole field to get ready for the upcoming challenges. The insights of the workshop will emerge from the interaction between the participants drawing upon their unique personal experiences as researchers, educators, and consultants.
ORCID iDs
Dörfler, Viktor
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Item type: Conference or Workshop Item(Other) ID code: 92768 Dates: DateEvent25 March 2025Published25 March 2025Accepted8 January 2025SubmittedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 07 May 2025 09:48 Last modified: 07 May 2025 09:48 URI: https://strathprints.strath.ac.uk/id/eprint/92768