Steering the mind share: technology companies, policy and Artificial Intelligence research in universities.

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 techno...

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Publicado en:Discourse: Studies in the Cultural Politics of Education Vol. 44; no. 2; pp. 195 - 208
Autores principales: Gulson, Kalervo N., Webb, P. Taylor
Formato: Artículo
Publicado: Taylor & Francis Ltd Apr2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Steering the mind share: technology companies, policy and Artificial Intelligence research in universities.
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          Gulson, Kalervo N.
          Webb, P. Taylor
        affil:
          Sydney School of Education and Social Work, The University of Sydney, Sydney, Australia
          Educational Studies, The University of British Columbia, Vancouver, Canada
      su:
        Artificial intelligence
        Stocks (Finance)
        University research
        Open scholarship
        Machine learning
      sug:
        subj:
          Artificial intelligence
          Stocks (Finance)
          University research
          Open scholarship
          Machine learning
      keyword:
        AI
        Artificial Intelligence
        computer scientists
        open science
        policy
        qualitative research
        research funding
        universities
      ab: 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.
      pubtype: Academic Journal
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    language: English
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