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Bildung: an exploration of postdigital education in the Anthropocene
KTH, School of Architecture and the Built Environment (ABE), Philosophy and History, History of Science, Technology and Environment. (Media and Environment: Al and Autonomous Systems in Data-Based Environmental Research)ORCID iD: 0000-0002-0410-8241
2024 (English)In: Framing Futures in Postdigital Education: Critical Concepts for Data-driven Practices / [ed] Anders Buch, Ylva Lindberg, Teresa Cerratto Pargman, Springer Nature, 2024, p. 119-137Chapter in book (Refereed)
Abstract [en]

Artificial intelligence (AI) represents a new era of enlightenment and Bildung, yet we find ourselves left in the dark regarding its fundamental impact. Currently, there is a public request for citizens to educate themselves about the societal effects that AI and other autonomous systems produce. International education policies assert that individuals need to acquire a breadth of new skills to adapt successfully to the changes that AI will bring to society. The skills and abilities that are required under the umbrella term AI literacy alone have expanded to such an extent that they must now be understood as a form of holistic civic knowledge comparable to a general Bildung. The public uptake of this is phrased as a universal solution to a vast variety of problems in postdigital societies. This chapter explores one genealogy of Bildung and lifelong learning in relation to digital developments and finally imagines postdigital Bildung in the Anthropocene.

Place, publisher, year, edition, pages
Springer Nature, 2024. p. 119-137
Series
Postdigital Science and Education, ISSN 2662-5326, E-ISSN 2662-5334
Keywords [en]
bildung, artificial intelligence (AI), lifelong learning
National Category
Pedagogy Other Humanities not elsewhere specified
Research subject
History of Science, Technology and Environment
Identifiers
URN: urn:nbn:se:kth:diva-352135DOI: 10.1007/978-3-031-58622-4_7Scopus ID: 2-s2.0-85212249375OAI: oai:DiVA.org:kth-352135DiVA, id: diva2:1890768
Projects
Media and Environment: Al and Autonomous Systems in Data-Based Environmental Research
Funder
Wallenberg Foundations
Note

Part of ISBN 978-3-031-58624-8, 978-3-031-58622-4

QC 20240827

Available from: 2024-08-20 Created: 2024-08-20 Last updated: 2025-05-27Bibliographically approved

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Rahm, Lina

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