What is critical (about) AI literacy? Exploring conceptualizations present in AI literacy discourse
Velander, Johanna, Otero, Nuno ORCID: https://orcid.org/0000-0003-2446-8727 and Milrad, Marcelo (2024) What is critical (about) AI literacy? Exploring conceptualizations present in AI literacy discourse. In: Buch, Anders, Lindberg, Ylva and Cerrato-Pargmant, Tessy, (eds.) Framing Futures in Postdigital Education: Critical Concepts for Data-driven Practices. Postdigital Science and Education (PSE) . Springer, Cham, Switzerland. ISBN 978-3031586217; 978-3031586248; 978-3031586224 (In Press)
PDF (Accepted book chapter)
47286_OTTERO_What_is_Critical_about_AI_Literacy.pdf - Accepted Version Restricted to Repository staff only until 5 August 2026. Download (385kB) | Request a copy |
Abstract
AI literacy commonly refers to essential skills and knowledge needed in a world where AI is ubiquitous. This work explores the literature on AI literacy, aiming to understand how AI literacy is defined and described. Our analysis teases out themes embedded in AI literacy definitions and their implications from a critical perspective. More specifically our work highlights how current definitions of AI literacy enable individuals to engage with AI concepts, applications, and ethical implications of the wider socio-technological system. We analyze literature about AI literacy, employing thematic analysis to identify the skills, motivations, perspectives, and assumptions that underpin these conceptualizations of AI literacy. Our findings reveal that while current definitions of AI literacy acknowledge the need for understanding AI and its ethical implications, they often fall short in suggesting how this understanding can help learners critically examine AI, its impact on the socio-technological ecosystem in which it is embedded, and imagine alternatives to current AI practices.
Item Type: | Book Section |
---|---|
Uncontrolled Keywords: | AI literacy; critical theory |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 29 May 2024 15:16 |
URI: | http://gala.gre.ac.uk/id/eprint/47286 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year