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Everyday Automation: Experiencing and Anticipating Emerging Technologies
Monash University, Australia.ORCID iD: 0000-0003-0073-8382
Malmö University, Data Society. Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7628-5829
Centre of Social Research in Health and Social Policy Research Centre, Faculty of Arts, Design and Architecture, UNSW Sydney, Australia.ORCID iD: 0000-0003-2658-4430
Centre for Consumer Society Research, University of Helsinki, Finland.ORCID iD: 0000-0002-7600-1419
2022 (English)Collection (editor) (Refereed)
Abstract [en]

This Open Access book brings the experiences of automation as part of quotidian life into focus. It asks how, where and when automated technologies and systems are emerging in everyday life across different global regions? What are their likely impacts in the present and future? How do engineers, policy makers, industry stakeholders and designers envisage artificial intelligence (AI) and automated decision-making (ADM) as a solution to individual and societal problems? How do these future visions compare with the everyday realities, power relations and social inequalities in which AI and ADM are experienced? What do people know about automation and what are their experiences of engaging with ‘actually existing’ AI and ADM technologies? An international team of leading scholars bring together research developed across anthropology, sociology, media and communication studies, and ethnology, which shows how by re-humanising automation, we can gain deeper understandings of its societal impacts.

Place, publisher, year, edition, pages
London & New York: Routledge, 2022, 1. , p. 250
National Category
Media and Communication Technology Sociology (excluding Social Work, Social Psychology and Social Anthropology)
Identifiers
URN: urn:nbn:se:mau:diva-50328DOI: 10.4324/9781003170884ISBN: 9780367773380 (print)ISBN: 9781003170884 (electronic)ISBN: 9780367773403 (print)OAI: oai:DiVA.org:mau-50328DiVA, id: diva2:1639529
Funder
Swedish Research Council, 2020-00977Available from: 2022-02-21 Created: 2022-02-21 Last updated: 2022-11-30Bibliographically approved

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Berg, Martin

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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More languages
Output format
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