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  1. Recommender systems and their ethical challenges.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - 2020 - AI and Society (4):957-967.
    This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.
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  • Practical versus moral identities in identity management.Noëmi Manders-Huits - 2010 - Ethics and Information Technology 12 (1):43-55.
    Over the past decade Identity Management has become a central theme in information technology, policy, and administration in the public and private sectors. In these contexts the term ‘Identity Management’ is used primarily to refer to ways and methods of dealing with registration and authorization issues regarding persons in organizational and service-oriented domains. Especially due to the growing range of choices and options for, and the enhanced autonomy and rights of, employees, citizens, and customers, there is a growing demand for (...)
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  • Track Thyself? The Value and Ethics of Self-knowledge Through Technology.Muriel Leuenberger - 2024 - Philosophy and Technology 37 (1):1-22.
    Novel technological devices, applications, and algorithms can provide us with a vast amount of personal information about ourselves. Given that we have ethical and practical reasons to pursue self-knowledge, should we use technology to increase our self-knowledge? And which ethical issues arise from the pursuit of technologically sourced self-knowledge? In this paper, I explore these questions in relation to bioinformation technologies (health and activity trackers, DTC genetic testing, and DTC neurotechnologies) and algorithmic profiling used for recommender systems, targeted advertising, and (...)
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  • Artificial intelligence and identity: the rise of the statistical individual.Jens Christian Bjerring & Jacob Busch - forthcoming - AI and Society:1-13.
    Algorithms are used across a wide range of societal sectors such as banking, administration, and healthcare to make predictions that impact on our lives. While the predictions can be incredibly accurate about our present and future behavior, there is an important question about how these algorithms in fact represent human identity. In this paper, we explore this question and argue that machine learning algorithms represent human identity in terms of what we shall call the statistical individual. This statisticalized representation of (...)
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  • AI-powered recommender systems and the preservation of personal autonomy.Juan Ignacio del Valle & Francisco Lara - 2024 - AI and Society 39 (5):2479-2491.
    Recommender Systems (RecSys) have been around since the early days of the Internet, helping users navigate the vast ocean of information and the increasingly available options that have been available for us ever since. The range of tasks for which one could use a RecSys is expanding as the technical capabilities grow, with the disruption of Machine Learning representing a tipping point in this domain, as in many others. However, the increase of the technical capabilities of AI-powered RecSys did not (...)
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  • Data identity: privacy and the construction of self.Jens-Erik Mai & Sille Obelitz Søe - 2022 - Synthese 200 (6):1-22.
    This paper argues in favor of a hybrid conception of identity. A common conception of identity in datafied society is a split between a digital self and a real self, which has resulted in concepts such as the data double, algorithmic identity, and data shadows. These data-identity metaphors have played a significant role in the conception of informational privacy as control over information—the control of or restricted access to your digital identity. Through analyses of various data-identity metaphors as well as (...)
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  • Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions.Catarina Fontes, Dino Carpentras & Sachit Mahajan - 2024 - Ethics and Information Technology 26 (3):1-22.
    Industry 5.0 and Healthcare 5.0 converge towards a human centered society, having technological advancement as a lever. In Society 5.0, decentralized autonomous cities and a convergence of physical and cyberspace are the foundations of the new chapter of society’s development. The idea of creating digital replicas and legitimate representatives of human beings in cyberspace has become a pillar of digitalization. Society 5.0 introduces Human Digital Twins as a central element of Cyber Physical Systems that include human factors or are designed (...)
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  • Virtual identity crisis: The phenomenology of Lockean selfhood in the “Age of Disruption”.Michael F. Deckard & Stephen Williamson - 2020 - Indo-Pacific Journal of Phenomenology 20 (1):e1887573.
    From the end of the seventeenth century to now well into the 21st, John Locke’s theory of personal identity has been foundational in the field of philosophy and psychology. Here we suggest that there are two fundamental threads intertwined in Lockean identity, the flux of perception-thought-action (i.e. continuity of consciousness) and memory. Using Maurice Merleau-Ponty, Paul Ricoeur, and Bernard Steigler as guides we will see that these threads constitute a phenomenological self (l’ésprit), a lived experience of our identity that is (...)
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  • Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain.Daria Onitiu - 2022 - AI and Society 37 (4):1749-1758.
    This paper delves into the nuances of ‘fashion’ in recommender systems and social media analytics, which shape and define an individual’s perception and self-relationality. Its aim is twofold: first, it supports a different perspective on privacy that focuses on the individual’s process of identity construction considering the social and personal aspects of ‘fashion’. Second, it underlines the limitations of computational models in capturing the diverse meaning of ‘fashion’, whereby the algorithmic prediction of user preferences is based on individual conscious and (...)
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