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The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence
- Source :
- Big Data & Society, Big Data & Society, 2020, 7 (1), pp.205395172091977. ⟨10.1177/2053951720919776⟩, Big Data & Society, Vol 7 (2020), Big Data & Society, SAGE, 2020, 7 (1), pp.205395172091977. ⟨10.1177/2053951720919776⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; This paper sheds light on the role of digital platform labour in the development of today's artificial intelligence, predicated on data-intensive machine learning algorithms. Focus is on the specific ways in which outsourcing of data tasks to myriad 'micro-workers', recruited and managed through specialized platforms, powers virtual assistants, self-driving vehicles and connected objects. Using qualitative data from multiple sources, we show that micro-work performs a variety of functions, between three poles that we label, respectively, 'artificial intelligence preparation', 'artificial intelligence verification' and 'artificial intelligence impersonation'. Because of the wide scope of application of micro-work, it is a structural component of contemporary artificial intelligence production processes - not an ephemeral form of support that may vanish once the technology reaches maturity stage. Through the lens of micro-work, we prefigure the policy implications of a future in which data technologies do not replace human workforce but imply its marginalization and precariousness.
- Subjects :
- Information Systems and Management
Computer science
Trainer
Big data
050801 communication & media studies
lcsh:A
Library and Information Sciences
micro-work
Digital platform labour
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
0508 media and communications
datafied production processes
0502 economics and business
050207 economics
Focus (computing)
[SHS.SOCIO]Humanities and Social Sciences/Sociology
business.industry
Communication
05 social sciences
artificial intelligence
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
Computer Science Applications
machine learning
Artificial intelligence
lcsh:General Works
business
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20539517
- Database :
- OpenAIRE
- Journal :
- Big Data & Society, Big Data & Society, 2020, 7 (1), pp.205395172091977. ⟨10.1177/2053951720919776⟩, Big Data & Society, Vol 7 (2020), Big Data & Society, SAGE, 2020, 7 (1), pp.205395172091977. ⟨10.1177/2053951720919776⟩
- Accession number :
- edsair.doi.dedup.....f06790639269e0c983a21a4a453c7c2d