Journal article
Mindset matters: how mindset affects the ability of staff to anticipate and adapt to Artificial Intelligence (AI) future scenarios in organisational settings
AI & Society, Vol.36, pp.895-909
2021
Abstract
Any first step in organisational adaptation starts with individuals’ responses and willingness (or otherwise) to change an aspect of themselves given the transcontextual settings in which they are operating (Bateson in Small arcs of larger circles: framing through other patterns, Triarchy Press, Axminster, 2018). This research explores the implications for organisational adaptation strategies when Artificial Intelligence (AI) is being embedded into the ecology of the organisation, and when employees have a dominant fixed or growth mindset (Dweck in Mindset: changing the way you think to fulfil your potential. Robinson, London, 2017). Research participants were supplied with a single scenario based in 2030, where—as a result of Artificial Intelligence technology implementation—employees were going to be displaced. Using Torbert’s (Organizational wisdom and executive courage, New Lexington Press, San Francisco, 1998) ‘first, second and third person’ research theory, participants were asked to independently review their thoughts, sense, and image of the future from a fixed mindset position (considered to be the worst case), then from a growth mindset perspective (best case), and then do the same collectively. Five key findings are outlined which support the principle that having a growth mindset is a key component of adaptive capacity and futures literacy. The five key findings conclude that AI adaptation processes need to include compassion and authenticity, embodiment, fundamental needs and motivations, mutual learning and considering what lies beyond the edges of the organisation (Bateson in Small arcs of larger circles: framing through other patterns, Triarchy Press, Axminster, 2018).
Details
- Title
- Mindset matters: how mindset affects the ability of staff to anticipate and adapt to Artificial Intelligence (AI) future scenarios in organisational settings
- Authors
- Elissa Farrow (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - Legacy
- Publication details
- AI & Society, Vol.36, pp.895-909
- Publisher
- Springer UK
- DOI
- 10.1007/s00146-020-01101-z
- ISSN
- 1435-5655
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Social Sciences - Legacy; School of Law and Society
- Language
- English
- Record Identifier
- 99489007302621
- Output Type
- Journal article
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- Computer Science, Artificial Intelligence
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