Human/machine Learning: Becoming Responsible for Learning Cultures of Digital Technologies

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dc.contributor.authorTreusch, Pat
dc.date.accessioned2023-08-29T12:09:31Z
dc.date.available2023-08-29T12:09:31Z
dc.date.issued2019
dc.description.abstractThis paper centrally asks for the ways in which ubiquitous, ever new digital technologies of 'our' everyday lives transform learning at the digital human-machine interface from the perspective of feminist science and technology studies. How to account for emerging forms of interwoven human and machine learning? Suggesting the term of learning cultures in approaching this question, the paper emphasizes an understanding of learning not as a proficiency of an entity embodying either natural or artificial intelligence, but rather as a culturally situated and materially enacted process. In so doing, the paper brings together recent impulses that suggest a re-conceptualization of learning, e.g. through the notion of "machine learners" (Mackenzie 2017) or that of "posthuman learning (Hasse 2018)". Reading these insights together, I will finally suggest an account of becoming responsible for learning cultures of digital technologies through a reconsidered notion of interwoven human/machine learning.en
dc.description.sponsorshipThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“)
dc.identifier.citationTreusch, P. (2019). Human/machine Learning: Becoming Responsible for Learning Cultures of Digital Technologies. Proceedings of the Weizenbaum Conference 2019: Challenges of Digital Inequality, 137–144. https://doi.org/10.34669/WI.CP/2.22
dc.identifier.doi10.34669/WI.CP/2.22
dc.identifier.eissn2510-7666
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/110
dc.language.isoeng
dc.publisherWeizenbaum Institute
dc.relation.ispartofhttps://doi.org/10.34669/WI.CP/2.32
dc.relation.ispartofseriesWeizenbaum Conference Proceedings
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSociology & anthropologyen
dc.subjectSociology of Science, Sociology of Technology, Research on Science and Technologyen
dc.subjectlearningen
dc.subjectdigitalizationen
dc.subjectman-machine systemen
dc.subjectlearning cultureen
dc.subjecttechnological progressen
dc.subjectfeminismen
dc.subjectSoziologie, Anthropologiede
dc.subjectDigital Human-Machine Relationsde
dc.subjectFeminist STSde
dc.subjectWissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologiede
dc.subjecttechnischer Fortschrittde
dc.subjectFeminismusde
dc.subjectLernende
dc.subjectLernkulturde
dc.subjectDigitalisierungde
dc.subjectMensch-Maschine-Systemde
dc.subject.ddc300 Sozialwissenschaften, Soziologie, Anthropologie
dc.titleHuman/machine Learning: Becoming Responsible for Learning Cultures of Digital Technologies
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.booktitleProceedings of the Weizenbaum Conference 2019
dcterms.bibliographicCitation.originalpublisherplaceBerlin
dcterms.bibliographicCitation.pageend144
dcterms.bibliographicCitation.pagestart137
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Proceedings of the Weizenbaum Conference 2019: Challenges of Digital Inequality