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  1. The Epistemology of Non-distributive Profiles.Patrick Allo - 2020 - Philosophy and Technology 33 (3):379-409.
    The distinction between distributive and non-distributive profiles figures prominently in current evaluations of the ethical and epistemological risks that are associated with automated profiling practices. The diagnosis that non-distributive profiles may coincidentally situate an individual in the wrong category is often perceived as the central shortcoming of such profiles. According to this diagnosis, most risks can be retraced to the use of non-universal generalisations and various other statistical associations. This article develops a top-down analysis of non-distributive profiles in which this (...)
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  • Just Data? Solidarity and Justice in Data-Driven Medicine.Matthias Braun & Patrik Hummel - 2020 - Life Sciences, Society and Policy 16 (1):1-18.
    This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and the right, harnessing personal health data towards the development and refinement of data-driven medicine is to be welcomed from the perspective of the good. Enacting solidarity drives progress in research and clinical practice. At the same time, such acts of sharing could—especially considering current developments in big data and artificial intelligence—compromise the right by leading to injustices and (...)
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  • “I Am Datafied Because We Are Datafied”: an Ubuntu Perspective on (Relational) Privacy.Urbano Reviglio & Rogers Alunge - forthcoming - Philosophy and Technology:1-18.
    The debate on the ethics of privacy has been mainly dominated by Western perspectives, to the exclusion of broader ethical theories and socio-cultural perspectives. This imbalance carries risks; transplanted ethical norms and values can collide with those of the communities in which they are deployed. The consequent homogenization might also represent a missed opportunity to enrich and develop the current paradigm of privacy protection so as to effectively face new technological challenges. This article introduces and discusses the sub-Saharan philosophy of (...)
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  • Designing the Health-Related Internet of Things: Ethical Principles and Guidelines.Brent Mittelstadt - 2017 - Information 8 (3):77.
    The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be (...)
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  • Treating Sensitive Topics Online: A Privacy Dilemma.Paula Helm - 2018 - Ethics and Information Technology 20 (4):303-313.
    This paper aims to provide new insights to debates on group privacy, which can be seen as part of a social turn in privacy scholarship. Research is increasingly showing that the classic individualistic understanding of privacy is insufficient to capture new problems in algorithmic and online contexts. An understanding of privacy as an “interpersonal boundary-control process” framing privacy as a social practice necessary to sustain intimate relationships is gaining ground. In this debate, my research is focused on what I refer (...)
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  • Data Science Ethical Considerations: A Systematic Literature Review and Proposed Project Framework.Jeffrey S. Saltz & Neil Dewar - 2019 - Ethics and Information Technology 21 (3):197-208.
    Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possible loss of privacy or the harming of a sub-category of the population via a classification algorithm. To help address these potential ethical challenges, this paper maps (...)
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  • The Ethics of Biomedical ‘Big Data’ Analytics.Brent Mittelstadt - 2019 - Philosophy and Technology 32 (1):17-21.
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