When machines think for us: The consequences for work and place
| Autor: | Amy Glasmeier, Judith Clifton, Mia Gray |
|---|---|
| Přispěvatelé: | Gray, Mia [0000-0002-1002-0879], Apollo - University of Cambridge Repository |
| Rok vydání: | 2022 |
| Předmět: |
Economics and Econometrics
Sociology and Political Science Emerging technologies media_common.quotation_subject Geography Planning and Development 0211 other engineering and technologies 0507 social and economic geography Organizational culture 02 engineering and technology bias in machine learning job displacement and growth Artificial Intelligence Political science Quality (business) Positive economics media_common automation Vision geography of technology Dystopia 05 social sciences Perspective (graphical) 021107 urban & regional planning Work (electrical) 050703 geography Futures contract |
| DOI: | 10.17863/cam.91356 |
| Popis: | The relationship between technology and work, and concerns about the displacement effects of technology and the organisation of work, have a long history. The last decade has seen the proliferation of academic papers, consultancy reports and news articles about the possible effects of Artificial Intelligence (AI) on work—creating visions of both utopian and dystopian workplace futures. AI has the potential to transform the demand for labour, the nature of work and operational infrastructure by solving complex problems with high efficiency and speed. However, despite hundreds of reports and studies, AI remains an enigma, a newly emerging technology, and its rate of adoption and implications for the structure of work are still only beginning to be understood. The current anxiety about labour displacement anticipates the growth and direct use of AI. Yet, in many ways, at present AI is likely being overestimated in terms of impact. Still, an increasing body of research argues the consequences for work will be highly uneven and depend on a range of factors, including place, economic activity, business culture, education levels and gender, among others. We appraise the history and the blurry boundaries around the definitions of AI. We explore the debates around the extent of job augmentation, substitution, destruction and displacement by examining the empirical basis of claims, rather than mere projections. Explorations of corporate reactions to the prospects of AI penetration, and the role of consultancies in prodding firms to embrace the technology, represent another perspective onto our inquiry. We conclude by exploring the impacts of AI changes in the quantity and quality of labour on a range of social, geographic and governmental outcomes. |
| Databáze: | OpenAIRE |
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