Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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: 10.4324/9781003170884-1ISBN: 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: 2022-11-30Bibliographically approved

Open Access in DiVA

fulltext(378 kB)68 downloads
File information
File name FULLTEXT01.pdfFile size 378 kBChecksum SHA-512
c3cc6bb80825d129d478fff2ff78ca68a935e6fd9ea94d989c435a36adc5192b0864bc14a9f4f2c218955deacdbef7c3dfc182e8dbfd38a9c4ff35d5a675aeb3
Type fulltextMimetype application/pdf

Other links

Publisher's full textBook fulltext

Authority records

Berg, Martin

Search in DiVA

By author/editor
Pink, SarahRuckenstein, MinnaBerg, MartinLupton, Deborah
By organisation
Data SocietyDepartment of Computer Science and Media Technology (DVMT)
Sociology (excluding Social Work, Social Psychology and Social Anthropology)Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 68 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 176 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf