Gotta Love Some Human Connection”

Humanizing Data Expression in an Age of AI

Bibliographic Data

ID10721970
AuthorsCherise McBride (0000-0002-6000-2871, Graduate School of Education Stanford University Stanford California USA, corresponding author), Clifford Lee (0000-0003-0710-0242, College of Arts, Media, and Design & Mills College Northeastern University Boston Massachusetts USA), Elisabeth Soep (YR Media Oakland California USA)
Year2024
Volume59
Issue4
Pages678-689
Publication date2024-10-01
Open AccessYes
TypeARTICLE
VenueReading Research Quarterly (JOURNAL)
Journal identifiersISSN: 0034-0553 • E-ISSN: 1936-2722
PublisherWiley (PUBLISHER • GB)
DOI10.1002/rrq.550
OpenAlexW4399682813
LanguageEN
Citations received3
References cited43

Rapidly developing technological advances have raised new questions about what makes us uniquely human. As data and generative AI become more powerful, what does it mean to learn, teach, create, make meaning, and express ourselves, even as machines are trained to take care of these tasks for us? With youth, and in the context of literacy and media education, we embrace this moment to broaden our social imaginations. Our collaboration with journalists ages 14–25 from 2019 to 2023 has yielded a corpus of over 30 multimodal compositions constructed with and/or about AI reaching audiences in the millions. On the basis of these youth texts – produced within our participatory research at YR Media, a national STEAM learning center and platform for emerging BIPOC content creators – we developed the conceptual framework presented here: Humanizing Data Expression (HDE). The key role of expression in HDE distinguishes the human from the machine through the lens of storytelling. Analysis of this corpus (podcasts, web‐based interactives, videos, radio features, online posts, social media assets) revealed four literacy practices of YR Media authors as they made sense of AI: (1) contextualize : try out AI‐powered features, reveal how it works; (2) unveil authorship : introduce AI creators and processes; (3) grapple : explore tensions and paradoxes; (4) play : hack, mess with, outsmart, exaggerate AI. From these insights, we end with implications of HDE as a framework for learning and teaching AI literacy, including its potential for critically transforming data literacy practice and pedagogy across schools, teaching, and teacher education

Art · Citizen journalism · Context (archaeology) · Expression (computer science) · Literacy · Literature · Meaning (existential) · Media literacy · Media studies · Participatory culture · Pedagogy · Social media · Sociology · Storytelling · World Wide Web · Child Development and Digital Technology · Computer Science · Literacy, Media, and Education · Psychology · Teaching and Learning Programming

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