Steering the mind share

Technology companies, policy and Artificial Intelligence research in universities

Bibliographic Data

ID2917868
AuthorsKalervo N Gulson (0000-0002-3581-9935, The University of Sydney, corresponding author), P Taylor Webb (0000-0003-1207-4333, Educational Studies, The University of British Columbia, Vancouver, Canada)
Year2023
Volume44
Issue2
Pages195-207
Publication date2023-03-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDiscourse Studies in the Cultural Politics of Education (JOURNAL)
Journal identifiersISSN: 0159-6306 • E-ISSN: 1469-3739
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01596306.2021.1981828
OpenAlexW3203061141
LanguageEN
Citations received2
References cited27

Research on Artificial Intelligence, especially in the field of machine learning, has exploded in the twenty-first century. AI research in universities has long been funded by a combination of government and corporate sources. The funding of AI research in the contemporary university includes technology companies as both funders and generators of research areas. This paper looks at the links between technology companies and AI research in three areas: first, the ways in which technology companies influence both the content and practices of AI research in universities; second, how university research policies enable conditions that blur traditional boundaries between corporate and academic AI research; and third, how an ethos of ‘open science’, that is increasingly corporatised, moves ideas about AI from universities to companies. We conclude that technology companies influence AI research within established feedback loops in the transformed relationships between economy, society, research, and the contemporary university

Economics · Ethos · Management · Political science · Public relations · Sociology · Doctoral Education Challenges and Solutions · Ethics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems · Law

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