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      Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance

      1 , 2 , 3
      Big Data & Society
      SAGE Publications

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          Abstract

          This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence (AI) and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings for the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks.

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          Most cited references14

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          Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

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            Comparing technological hype cycles: Towards a theory

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              Navigating foresight in a sea of expectations: lessons from the sociology of expectations

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                Author and article information

                Journal
                Big Data & Society
                Big Data & Society
                SAGE Publications
                2053-9517
                2053-9517
                January 2020
                April 30 2020
                January 2020
                : 7
                : 1
                : 205395172091593
                Affiliations
                [1 ]ADAPT Research Centre & Department of Sociology, Maynooth University, Maynooth, Ireland
                [2 ]ADAPT Research Centre & School of Information and Communication Studies, University College Dublin, Dublin, Ireland
                [3 ]ADAPT Research Centre & Information, Communication and Entertainment Research Institute, Technological University Dublin, Dublin, Ireland
                Article
                10.1177/2053951720915939
                da8e8d9d-8290-410c-9902-3cd2f99089ad
                © 2020

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

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