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      From hostile worlds to multiple spheres: towards a normative pragmatics of justice for the Googlization of health

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          Abstract

          The datafication and digitalization of health and medicine has engendered a proliferation of new collaborations between public health institutions and data corporations like Google, Apple, Microsoft and Amazon. Critical perspectives on these new partnerships tend to frame them as an instance of market transgressions by tech giants into the sphere of health and medicine, in line with a “hostile worlds” doctrine that upholds that the borders between market and non-market spheres should be carefully policed. This article seeks to outline the limitations of this common framing for critically understanding the phenomenon of the Googlization of health. In particular, the mobilization of a diversity of non-market value statements in the justification work carried out by actors involved in the Googlization of health indicates the co-presence of additional worlds or spheres in this context, which are not captured by the market vs. non-market dichotomy. It then advances an alternative framework, based on a multiple-sphere ontology that draws on Boltanski and Thevenot’s orders of worth and Michael Walzer’s theory of justice, which I call a normative pragmatics of justice. This framework addresses both the normative deficit in Boltanski and Thevenot’s work and provides an important emphasis on the empirical workings of justice. Finally, I discuss why this framework is better equipped to identify and to address the many risks raised by the Googlization of health and possibly other dimensions of the digitalization and datafication of society.

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          CRITICAL QUESTIONS FOR BIG DATA

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            Economization, part 1: shifting attention from the economy towards processes of economization

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              Google DeepMind and healthcare in an age of algorithms

              Data-driven tools and techniques, particularly machine learning methods that underpin artificial intelligence, offer promise in improving healthcare systems and services. One of the companies aspiring to pioneer these advances is DeepMind Technologies Limited, a wholly-owned subsidiary of the Google conglomerate, Alphabet Inc. In 2016, DeepMind announced its first major health project: a collaboration with the Royal Free London NHS Foundation Trust, to assist in the management of acute kidney injury. Initially received with great enthusiasm, the collaboration has suffered from a lack of clarity and openness, with issues of privacy and power emerging as potent challenges as the project has unfolded. Taking the DeepMind-Royal Free case study as its pivot, this article draws a number of lessons on the transfer of population-derived datasets to large private prospectors, identifying critical questions for policy-makers, industry and individuals as healthcare moves into an algorithmic age.
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                Author and article information

                Contributors
                t.sharon@ftr.ru.nl
                Journal
                Med Health Care Philos
                Med Health Care Philos
                Medicine, Health Care, and Philosophy
                Springer Netherlands (Dordrecht )
                1386-7423
                1572-8633
                15 March 2021
                15 March 2021
                : 1-13
                Affiliations
                GRID grid.5590.9, ISNI 0000000122931605, Faculty of Philosophy, Theology and Religious Studies, , Radboud University, ; PO Box 9103, 6500 HD Nijmegen, The Netherlands
                Author information
                http://orcid.org/0000-0003-0155-9220
                Article
                10006
                10.1007/s11019-021-10006-7
                7957283
                33721157
                b63ecacd-5907-4aeb-b19b-f9b2c4764d94
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 804985
                Award Recipient :
                Categories
                Scientific Contribution

                Medicine
                digital health,googlization of health,commodification,orders of worth,spheres of justice,datafication

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