Article ID: CBB867495051

Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning (January 2021)

unapi

Artificial intelligence (AI) is again attracting significant attention across all areas of social life. One important sphere of focus is education; many policy makers across the globe view lifelong learning as an essential means to prepare society for an “AI future” and look to AI as a way to “deliver” learning opportunities to meet these needs. AI is a complex social, cultural, and material artifact that is understood and constructed by different stakeholders in varied ways, and these differences have significant social and educational implications that need to be explored. Through analysis of thirty-four in-depth interviews with stakeholders from academia, commerce, and policy, alongside document analysis, we draw on the social construction of technology (SCOT) to illuminate the diverse understandings, perceptions of, and practices around AI. We find three different technological frames emerging from the three social groups and argue that commercial sector practices wield most power. We propose that greater awareness of the differing technical frames, more interactions among a wider set of relevant social groups, and a stronger focus on the kinds of educational outcomes society seeks are needed in order to design AI for learning in ways that facilitate a democratic education for all.

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Authors & Contributors
Coeckelbergh, Mark
Morrison, Ryan J.
Takehiro Ohya
Matthew O’Lemmon
Robert Boyer
Heur, Bas van
Journals
Science, Technology and Human Values
Social Studies of Science
Transfers
Interdisciplinary Science Reviews
IEEE Technology and Society Magazine
Configurations: A Journal of Literature, Science, and Technology
Publishers
Springer
Oxford University Press
Arizona State University
Yale University Press
The MIT Press
MIT Press
Concepts
Technology and society
Artificial intelligence
Technoscience; science and technology studies
Computers and computing
Technology and ethics
Algorithms
People
Pinch, Trevor J.
Time Periods
21st century
20th century, late
Places
Ethiopia
United States
Russia
Germany
France
China
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