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  1.  34
    Emerging models of data governance in the age of datafication.Anna Berti Suman, Max Craglia, Marisa Ponti & Marina Micheli - 2020 - Big Data and Society 7 (2).
    The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of personal data, other actors, such as small businesses, public bodies and civic society, take also part in data governance. The article sheds light on four models emerging from the practices of these actors: data sharing pools, data cooperatives, public data trusts and personal data sovereignty. We propose (...)
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  2.  37
    Digital footprints: an emerging dimension of digital inequality.Marina Micheli, Christoph Lutz & Moritz Büchi - 2018 - Journal of Information, Communication and Ethics in Society 16 (3):242-251.
    Purpose This conceptual contribution is based on the observation that digital inequalities literature has not sufficiently considered digital footprints as an important social differentiator. The purpose of the paper is to inspire current digital inequality frameworks to include this new dimension. Design/methodology/approach Literature on digital inequalities is combined with research on privacy, big data and algorithms. The focus on current findings from an interdisciplinary point of view allows for a synthesis of different perspectives and conceptual development of digital footprints as (...)
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  3.  13
    The landscape of data and AI documentation approaches in the European policy context.Josep Soler-Garrido, Blagoj Delipetrev, Isabelle Hupont & Marina Micheli - 2023 - Ethics and Information Technology 25 (4):1-21.
    Nowadays, Artificial Intelligence (AI) is present in all sectors of the economy. Consequently, both data-the raw material used to build AI systems- and AI have an unprecedented impact on society and there is a need to ensure that they work for its benefit. For this reason, the European Union has put data and trustworthy AI at the center of recent legislative initiatives. An important element in these regulations is transparency, understood as the provision of information to relevant stakeholders to support (...)
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    AI ethics and data governance in the geospatial domain of Digital Earth.Marina Micheli, Caroline M. Gevaert, Mary Carman, Max Craglia, Emily Daemen, Rania E. Ibrahim, Alexander Kotsev, Zaffar Mohamed-Ghouse, Sven Schade, Ingrid Schneider, Lea A. Shanley, Alessio Tartaro & Michele Vespe - 2022 - Big Data and Society 9 (2).
    Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the capacity to collect and process complex amounts of geospatial data. Yet, the widespread techno-optimism at the root of Digital Earth must now confront concerns over high-risk artificial intelligence systems and power asymmetries of a datafied society. In this commentary, we claim that not only can current debates about data (...)
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