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      “AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication

      1 , 2
      Big Data & Society
      SAGE Publications

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          Abstract

          Technologies of “artificial intelligence” (AI) and machine learning (ML) are increasingly presented as solutions to key problems of our societies. Companies are developing, investing in, and deploying machine learning applications at scale in order to filter and organize content, mediate transactions, and make sense of massive sets of data. At the same time, social and legal expectations are ambiguous, and the technical challenges are substantial.

          This is the introductory article to a special theme that addresses this turn to AI as a technical, discursive and political phenomena. The opening article contextualizes this theme by unfolding this multi-layered nature of the turn to AI. It argues that, whereas public and economic discourses position the widespread deployment of AI and automation in the governance of digital communication as a technical turn with a narrative of revolutionary breakthrough-moments and of technological progress, this development is at least similarly dependent on a parallel discursive and political turn to AI. The article positions the current turn to AI in the longstanding motif of the “technological fix” in the relationship between technology and society, and identifies a discursive turn to responsibility in platform governance as a key driver for AI and automation. In addition, a political turn to more demanding liability rules for platforms further incentivizes platforms to automatically screen their content for possibly infringing or violating content, and position AI as a solution to complex social problems.

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          Most cited references34

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          The politics of ‘platforms’

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            Algorithms of Oppression

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              The Relevance of Algorithms

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Big Data & Society
                Big Data & Society
                SAGE Publications
                2053-9517
                2053-9517
                July 2021
                October 04 2021
                July 2021
                : 8
                : 2
                : 205395172110461
                Affiliations
                [1 ]Centre for Media, Communication and Information Research (ZeMKI), University of Bremen
                [2 ]Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin
                Article
                10.1177/20539517211046182
                16131c4c-31c7-4db6-a053-17324872efb7
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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