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Everyday Automation: Setting a research agenda
Monash University, Australia.ORCID iD: 0000-0003-0073-8382
University of Helsinki, Finland.ORCID iD: 0000-0002-7600-1419
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
UNSW Sydney, Australia.ORCID iD: 0000-0003-2658-4430
2022 (English)In: Everyday Automation: Experiencing and Anticipating Emerging Technologies / [ed] Sarah Pink, Martin Berg, Deborah Lupton, Minna Ruckenstein, London & New York: Routledge, 2022, 1, p. 1-19Chapter in book (Refereed)
Abstract [en]

This chapter discusses the Sarah Pink discusses how ethics and trust in AI and ADM have become bound up in industry and government frameworks which treat them as commodities which can be extracted from faceless publics and invested in machines. The second reason that automated technologies receive high levels of publicity or promotion is when they have saved, or are predicted to save, lives: for instance, through accident prevention, medical and pharmaceutical interventions or in humanitarian domains. In contrast, experiences and processes of automation as part of quotidian routines in our everyday lives in our homes, transport, at work and in education have slipped under the radar of much popular and academic attention. The messiness of the ADM and AI fields might be seen as a problem, and one way forward involves engaging in a cross-disciplinary mapping of ADM and AI definitions to produce taxonomies and classifications for a shared vocabulary.

Place, publisher, year, edition, pages
London & New York: Routledge, 2022, 1. p. 1-19
National Category
Sociology (excluding Social Work, Social Psychology and Social Anthropology) Media and Communication Technology
Identifiers
URN: urn:nbn:se:mau:diva-50329DOI: 10.4324/9781003170884-1Scopus ID: 2-s2.0-85131010358ISBN: 9780367773380 (print)ISBN: 9781003170884 (electronic)ISBN: 9780367773403 (print)OAI: oai:DiVA.org:mau-50329DiVA, id: diva2:1639533
Funder
Swedish Research Council, 2020-00977Available from: 2022-02-21 Created: 2022-02-21 Last updated: 2024-02-05Bibliographically approved

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Berg, Martin

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