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  1. Surveillance in ubiquitous network societies: normative conflicts related to the consumer in-store supermarket experience in the context of the Internet of Things.Jenifer Sunrise Winter - 2014 - Ethics and Information Technology 16 (1):27-41.
    The Internet of Things (IoT) is an emerging global infrastructure that employs wireless sensors to collect, store, and exchange data. Increasingly, applications for marketing and advertising have been articulated as a means to enhance the consumer shopping experience, in addition to improving efficiency. However, privacy advocates have challenged the mass aggregation of personally-identifiable information in databases and geotracking, the use of location-based services to identify one’s precise location over time. This paper employs the framework of contextual integrity related to privacy (...)
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  • Designing spheres of informational justice.Michael Nagenborg - 2009 - Ethics and Information Technology 11 (3):175-179.
    J. van den Hoven suggested to analyse privacy from the perspective of informational justice, whereby he referred to the concept of distributive justice presented by M. Walzer in “ Spheres of Justice ”. In “privacy as contextual integrity” Helen Nissenbaum did also point to Walzer’s approach of complex equality as well to van den Hoven’s concept. In this article I will analyse the challenges of applying Walzer’s concept to issues of informational privacy. I will also discuss the possibilities of framing (...)
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  • The Givenness of the Human Learning Experience and Its Incompatibility with Information Analytics.David Lundie - 2017 - Educational Philosophy and Theory 49 (4).
    The rise of learning analytics, the application of complex metrics developed to exploit the proliferation of ‘Big Data’ in educational work, raises important moral questions about the nature of what is measurable in education. Teachers, schools and nations are increasingly held to account based on metrics, exacerbating the tendency for fine-grained measurement of learning experiences. In this article, the origins of learning analytics ontology are explored, drawing upon core ideas in the philosophy of computing, such as the general definition of (...)
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  • From privacy to anti-discrimination in times of machine learning.Thilo Hagendorff - 2019 - Ethics and Information Technology 21 (4):331-343.
    Due to the technology of machine learning, new breakthroughs are currently being achieved with constant regularity. By using machine learning techniques, computer applications can be developed and used to solve tasks that have hitherto been assumed not to be solvable by computers. If these achievements consider applications that collect and process personal data, this is typically perceived as a threat to information privacy. This paper aims to discuss applications from both fields of personality and image analysis. These applications are often (...)
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