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 (...) not only perhaps the most essential component of our humanity, but also the most threatened in today’s ongoing, commercial convergence of the real and the virtual in the “Age of Disruption”. (shrink)

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 (...) individuals, we shall argue, differs significantly from our ordinary conception of human identity, which is tightly intertwined with considerations about biological, psychological, and narrative continuity—as witnessed by our most well-established philosophical views on personal identity. Indeed, algorithmic representations of individuals give no special attention to biological, psychological, and narrative continuity and instead rely on predictive properties that significantly exceed and diverge from those that we would ordinarily take to be relevant for questions about how we are. (shrink)

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 (...) unconscious associations with fashion identity. I test both of these claims in the context of current concerns over the impact of algorithmic personalisation systems on individual autonomy and privacy: creating ‘filter bubbles’, nudging the user beyond their conscious awareness, as well as the inherent bias in algorithmic decision-making. We need an understanding of privacy that sustains the inherent reduction of fashion identity to literal attributes and protects individual autonomy in shaping algorithmic approximations of the self. (shrink)

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.

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 (...) systems that enable the regulation of rights, duties, responsibilities, entitlements and access of innumerable people simultaneously. ‘Identity Management’ or ‘Identity Management Systems’ have become important headings under which such systems are designed and implemented. But there is another meaning of the term ‘identity management’, which is clearly related and which has gained currency. This second construal refers to the need to manage our moral identities and our identity related information. This paper explores the relation between the management of our (moral) identities and ‘Identity Management’ as conceptualized in IT discourse. (shrink)

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 (...) philosophical accounts of identity, we argue in favor of a hybrid conception of identity that emphasizes the relations between the ‘real’ and the ‘digital’. A hybrid conception of identity—where the digital is an aspect on par with social relations, self-understanding, and values—ultimately calls for an understanding of privacy as the right to influence one’s own identity. (shrink)

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 (...) technologically supported decision-making. First, I distinguish between impersonal, critical, and relational self-knowledge. Relational self-knowledge is a so far neglected dimension of self-knowledge which is introduced in this paper. Next, I investigate the contribution of these technologies to the three types of self-knowledge and uncover the connected ethical concerns. Technology can provide a lot of impersonal self-knowledge, but we should focus on the quality of the information which tends to be particularly insufficient for marginalized groups. In terms of critical self-knowledge, the nature of technologically sourced personal information typically impedes critical engagement. The value of relational self-knowledge speaks in favour of transparency of information technology, notably for algorithms that are involved in decision-making about individuals. Moreover, bioinformation technologies and digital profiling shape the concepts and norms that define us. We should ensure they not only serve commercial interests but our identity and self-knowledge interests. (shrink)