Most current work on privacy understands it according to an economic model: individuals trade personal information for access to desired services and websites. This sounds good in theory. In practice, it has meant that online access to almost anything requires handing over vast amounts of personal information to the service provider with little control over what happens to it next. The two books considered in this essay both work against that economic model. In Privacy as Trust, Ari Ezra Waldman argues (...) for a new model of privacy that starts not with putatively autonomous individuals but with an awareness that managing information flows is part of how people create and navigate social boundaries with one another. Jennifer Rothman's Right of Publicity confronts the explosive growth of publicity rights—the rights of individuals to control and profit from commercial use of their name and public image—and, in so doing, she exposes the poverty of treating information disclosure merely as a matter of economic calculation. Both books emphasize practical and doctrinal solutions to the problems they identify. In this essay, I take a step back and draw out the extent to which they converge on a fundamentally important point: the blunt application of market logic with its tools of property and contracts fails to protect the interests that lead us to turn to privacy in the first place; the tendency to economize privacy is a significant part of why we inadequately protect it. (shrink)

This paper argues, against the prevailing view, that consent to privacy policies that regular internet users usually give is largely unproblematic from the moral point of view. To substantiate this claim, we rely on the idea of the right not to know (RNTK), as developed by bioethicists. Defenders of the RNTK in bioethical literature on informed consent claim that patients generally have the right to refuse medically relevant information. In this article we extend the application of the RNTK to online (...) privacy. We then argue that if internet users can be thought of as exercising their RNTK before consenting to privacy policies, their consent ought to be considered free of the standard charges leveled against it by critics. (shrink)

Artificial intelligence (AI) and machine learning (ML) systems increasingly purport to deliver knowledge about people and the world. Unfortunately, they also seem to frequently present results that repeat or magnify biased treatment of racial and other vulnerable minorities. This paper proposes that at least some of the problems with AI’s treatment of minorities can be captured by the concept of epistemic injustice. To substantiate this claim, I argue that (1) pretrial detention and physiognomic AI systems commit testimonial injustice because their (...) target variables reflect inaccurate and unjust proxies for what they claim to measure; (2) classification systems, such as facial recognition, commit hermeneutic injustice because their classification taxonomies, almost no matter how they are derived, reflect and perpetuate racial and other stereotypes; and (3) epistemic injustice better explains what is going wrong in these types of situations than does the more common focus on procedural (un)fairness. (shrink)

Social Networking Services provide services in return for rights to commercialize users’ personal data. We argue that what makes this transaction permissible is not users’ autonomous consent but the provision of sufficiently valuable opportunities to exchange data for services. We argue that the value of these opportunities should be assessed for both (a) a range of users with different decision-making abilities and (b) third parties. We conclude that regulation should shift from aiming to ensure autonomous consent towards ensuring that users (...) face options that they will use to advance individual and common interests. (shrink)

This article argues that the self-management of one’s privacy is impossible due to privacy externalities. Privacy externalities are the negative by-product of the services offered by some data controllers, whereby the price to ‘pay’ for a service includes not just the provision of the user’s own personal data, but also that of others. This term, related to similar concepts from the literature on privacy such as ‘networked privacy’ or ‘data pollution’, is used here to bring to light the incentives and (...) exploitative dynamics behind a phenomenon which, I demonstrate, benefits both the user and the data controller to the detriment of third-party data subjects. Building on these novel elements and on the relevant concepts and examples found in the existing literature, this article draws a comprehensive picture of the phenomenon, and offers two promising paths to address it—better enforcing the principle of data protection by design and by default, and relying on the framework of joint controllership. (shrink)

ABSTRACTThe ubiquity of digital communication channels such as social media platforms, video sites, and mobile apps has transformed the relational experience between audiences and brand entities. Whether engaging within a consumer goods market, a professional services industry, or a news and infotainment source, audiences and brand entities have inhabited a new ecosystem that has challenged the acceptance of the classic purchase funnel model pioneered by Elias St. Elmo Lewis. This article reviews the conception of a postpurchase funnel media environment and (...) seeks to moralize its transaction-driven expediency in 3 ways. First, it explores the legitimacy of an audience-centric ecosystem as a theoretical substitute for the purchase funnel model. Second, it introduces MacIntyre’s concept of virtue ethics as a grounding moral philosophy in the postpurchase funnel environment. Finally, it reviews two cases of postpurchase funnel marketing abuses and recommends strategies that commit brand entities to a bilatera... (shrink)

Clicks, comments, transactions, and physical movements are being increasingly recorded and analyzed by Big Data processors who use this information to trace the sentiment and activities of markets and voters. While the benefits of Big Data have received considerable attention, it is the potential social costs of practices associated with Big Data that are of interest to us in this paper. Prior research has investigated the impact of Big Data on individual privacy rights, however, there is also growing recognition of (...) its capacity to be mobilized for surveillance purposes. Our paper delineates the underlying issues of privacy and surveillance and presents them as in tension with one another. We postulate that efforts at controlling Big Data may create a trade-off of risks rather than an overall improvement in data protection. We explore this idea in relation to the principles of the European Union’s General Data Protection Regulation as it arguably embodies the new ‘gold standard’ of cyber-laws. We posit that safeguards advocated by the law, anonymization and pseudonymization, while representing effective counter measures to privacy concerns, also incentivize the use, collection, and trade of behavioral and other forms of de-identified data. We consider the legal status of these ownerless forms of data, arguing that data protection techniques such as anonymization and pseudonymization raise significant concerns over the ownership of behavioral data and its potential use in the large-scale modification of activities and choices made both on and offline. (shrink)

ABSTRACT Relatively little work brings together Foucault and epistemic injustice. This article works through Miranda Fricker’s attempt to position herself between Marx and Foucault. Foucault repeatedly emphasizes the importance of beginning with “structures” rather than “subjects.” Reading Foucault’s critique of Marxism shows that Fricker’s account comes very close to the standpoint theories it tries to avoid. Foucault’s emphasis on structures explains some of the gaps in Fricker’s account of hermeneutical injustice, especially the need to emphasize the embeddedness of epistemic practices (...) in institutions, and their resulting irreducibly political nature. In both cases, this article offers contemporary examples taken from data and privacy regulations. (shrink)