To augment human capacity—Artificial intelligence evolution through causal layered analysis. (April 2019)
- Record Type:
- Journal Article
- Title:
- To augment human capacity—Artificial intelligence evolution through causal layered analysis. (April 2019)
- Main Title:
- To augment human capacity—Artificial intelligence evolution through causal layered analysis
- Authors:
- Farrow, Elissa
- Abstract:
- Highlights: Inter-sectoral creation of standards required to cement 2039 vision. Myths and metaphors of AI have remained relatively stable through story and popular media. All worldviews connect to the concept of advantage (threat or opportunity). CLA analysis has provided insight across the 5000 year genealogy. 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.
- Is Part Of:
- Futures. Volume 108(2019)
- Journal:
- Futures
- Issue:
- Volume 108(2019)
- Issue Display:
- Volume 108, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 108
- Issue:
- 2019
- Issue Sort Value:
- 2019-0108-2019-0000
- Page Start:
- 61
- Page End:
- 71
- Publication Date:
- 2019-04
- Subjects:
- Genealogy -- Causal Layered Analysis -- Artificial Intelligence -- Worldviews -- Advantage -- Futures
Economic forecasting -- Periodicals
Technological forecasting -- Periodicals
Economic policy -- Periodicals
Prévision économique -- Périodiques
Prévision technologique -- Périodiques
Politique économique -- Périodiques
Economic forecasting
Economic policy
Technological forecasting
Periodicals
Electronic journals
330.0112 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00163287 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.futures.2019.02.022 ↗
- Languages:
- English
- ISSNs:
- 0016-3287
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4060.650000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9814.xml