Abstract
AbstractThe concept of magic is frequently used to discuss technology, a practice considered useful by some with others arguing that viewing technology as magic precludes a proper understanding of technology. The concept of magic is especially prominent in discussions of artificial intelligence (AI) and machine learning (ML). Based on an anthropological perspective, this paper juxtaposes ML technology with magic, using descriptions drawn from a project on an ML-powered system for propulsion control of cargo ships. The paper concludes that prior scholarly work on technology has failed to both define magic adequately and use research into magic. It also argues that although the distinction between ML technology and magic is important, recognition of the similarities is useful for understanding ML technology.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Human-Computer Interaction,Philosophy
Reference57 articles.
1. Baladrón C, Amat-Santos IJ, San Román A (2019). Machine learning is no magic: put a rabbit into the hat before pulling it out. JACC: Cardiovasc Intervent 12(20), 2112–2113
2. Boholm Å (2015) Anthropology and risk. Routledge, Abingdon, Oxon
3. Boholm Å (2014). Nanotechnology, anthropomorphic matter and human machinery: an exploration of the longue durée of technological vision. J Assoc Soc Anthropol 1(9)
4. Bryceson DF, Jønsson JB, Sherrington R (2010) Miners' magic: artisanal mining, the albino fetish and murder in Tanzania. J Modern Afr Stud, 353–382
5. Burrell J (2016) How the machine ‘thinks’: understanding opacity in machine learning algorithms. Big Data Soc. https://doi.org/10.1177/2053951715622512
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