NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1463902
Record Type: Journal
Publication Date: 2025
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1476-7333
EISSN: EISSN-1476-7341
Available Date: 0000-00-00
Responsible AI and Action Learning
Craig Johnson1; Emad Mohamed1
Action Learning: Research and Practice, v22 n1 p55-67 2025
This paper proposes action learning has a role to play in advancing responsible AI. Despite the recent surge in attention towards artificial intelligence, predominantly focusing on its technological and commercial aspects, the social dimensions have often been overlooked. Action learning, known for fostering interdisciplinary discourse, is proposed as a collaborative learning approach to foster responsible AI. The paper explores three potential avenues: facilitating multidisciplinary dialogue, reshaping the workforce, and promoting ethical AI practices. Emphasising the importance of cultivating critical questioning skills, we suggest an action learning approach can cultivate the innovative potential of AI, whilst mitigating its potential risks.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1School of Management, University of Bradford, Bradford, UK