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To Augment Human Capacity—Artificial Intelligence Evolution through Causal Layered Analysis404.79 kB
Accepted VersionCC BY-NC-ND V4.0, Open Access
Journal article
To Augment Human Capacity—Artificial Intelligence Evolution through Causal Layered Analysis
Futures, Vol.108, pp.61-71
2019
Abstract
Artificial Intelligence (AI) origins connect to the human drive to expand our mental and physical capacity, seek advantage, survive and flourish. The global unrest we see today including demographic inversion, warfare and displacement of people, protectionist views tightening boundaries and ecological and energy concerns have shifted the world views underpinning AI and related headlines, systemic responses and research priorities. This paper examines the past 5000 years of AI and applies the future research methodology Causal Layered Analysis (Inayatullah, 1998) combined with a genealogical analysis linked to Foucault's (2002) concept of discontinuity.
Details
- Title
- To Augment Human Capacity—Artificial Intelligence Evolution through Causal Layered Analysis
- Authors
- Elissa Farrow (Author) - University of the Sunshine Coast
- Publication details
- Futures, Vol.108, pp.61-71
- Publisher
- Pergamon
- Date published
- 2019
- DOI
- 10.1016/j.futures.2019.02.022
- ISSN
- 0016-3287
- Copyright note
- Copyright © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Law and Society
- Language
- English
- Record Identifier
- 99451130602621
- Output Type
- Journal article
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