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

Treusch, Pat

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

dc.contributor.author	Treusch, Pat
dc.date.accessioned	2023-08-29T12:09:31Z
dc.date.available	2023-08-29T12:09:31Z
dc.date.issued	2019
dc.description.abstract	This 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.sponsorship	This 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.citation	Treusch, 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.doi	https://doi.org/10.34669/wi.cp/2.22
dc.identifier.eissn	2510-7666
dc.identifier.uri	https://www.weizenbaum-library.de/handle/id/110
dc.language.iso	eng
dc.publisher	Weizenbaum Institute
dc.relation.ispartof	https://doi.org/10.34669/WI.CP/2.32
dc.relation.ispartofseries	Weizenbaum Conference Proceedings
dc.rights	open access
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Sociology & anthropology	en
dc.subject	Sociology of Science, Sociology of Technology, Research on Science and Technology	en
dc.subject	learning	en
dc.subject	digitalization	en
dc.subject	man-machine system	en
dc.subject	learning culture	en
dc.subject	technological progress	en
dc.subject	feminism	en
dc.subject	Soziologie, Anthropologie	de
dc.subject	Digital Human-Machine Relations	de
dc.subject	Feminist STS	de
dc.subject	Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie	de
dc.subject	technischer Fortschritt	de
dc.subject	Feminismus	de
dc.subject	Lernen	de
dc.subject	Lernkultur	de
dc.subject	Digitalisierung	de
dc.subject	Mensch-Maschine-System	de
dc.subject.ddc	300 Sozialwissenschaften
dc.title	Human/machine Learning: Becoming Responsible for Learning Cultures of Digital Technologies
dc.type	ConferencePaper
dc.type.status	publishedVersion
dcmi.type	Text
dcterms.bibliographicCitation.booktitle	Proceedings of the Weizenbaum Conference 2019
dcterms.bibliographicCitation.originalpublisherplace	Berlin
dcterms.bibliographicCitation.pageend	144
dcterms.bibliographicCitation.pagestart	137