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What will be the Surprises for HRD in 2018? A Futures Scenario

Harrison, PA, Nichol, L, Gatto, M, Wai, MC, Cox, A and Gold, J (2018) What will be the Surprises for HRD in 2018? A Futures Scenario. International Journal of HRD Practices , Policy and Research, 3 (2). pp. 63-71. ISSN 2397-4583

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The paper reports findings from a futures workshop to consider surprises — unexpected or astonishing events or facts — that may await HRD. Participants were asked to identify an HRD issue for the future and then pose questions that placed surprise up front and that could indicate a vulnerability for HRD. Two scenarios are developed for the year 2028 and events leading to this year. In the first, S1, human behaviour within organizations is defined by machines and machines prescribe why, what and where work is needed, who does it, when, and how work is done. Thus programmes of learning are pre-determined by machines. In the second, S2, aritificial intelligence proves to be incapable of adapting to the extreme events of solar activity affecting satellites and internet communications globally. HRD rebuilds trust in the collective human ability to work together collaboratively to restore a team ethic and rebuild. The scenarios are discussed and a recommendation is made for HRD research to consider the direction and value of their work and how progress in academic life might be reconstituted to allow more attention to be given to key areas of machine learning and artificial intelligence.

Item Type: Article
Uncontrolled Keywords: HRD Futures; Machines; Artificial Intelligence; Work; Global Citizens
Subjects: H Social Sciences > HF Commerce > HF5001 Business
Divisions: Liverpool Business School
Publisher: International Federation of Training & Development Organisations (IFTDO) & University Forum for Human Resource Development (UFHRD)
Related URLs:
Date Deposited: 11 Dec 2018 11:12
Last Modified: 04 Sep 2021 02:08
DOI or ID number: 10.22324/ijhrdppr.3.113
Editors: nichol, L, gatto, M, chee, M and cox, A
URI: https://researchonline.ljmu.ac.uk/id/eprint/9798
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