The potential to collect brain data more directly, with higher resolution, and in greater amounts has heightened worries about mental and brain privacy. In order to manage the risks to individuals posed by these privacy challenges, some have suggested codifying new privacy rights, including a right to “mental privacy.” In this paper, we consider these arguments and conclude that while neurotechnologies do raise significant privacy concerns, such concerns are—at least for now—no different from those raised by other well-understood data collection (...) technologies, such as gene sequencing tools and online surveillance. To better understand the privacy stakes of brain data, we suggest the use of a conceptual framework from information ethics, Helen Nissenbaum’s “contextual integrity” theory. To illustrate the importance of context, we examine neurotechnologies and the information flows they produce in three familiar contexts—healthcare and medical research, criminal justice, and consumer marketing. We argue that by emphasizing what is distinct about brain privacy issues, rather than what they share with other data privacy concerns, risks weakening broader efforts to enact more robust privacy law and policy. (shrink)

Privacy and surveillance scholars increasingly worry that data collectors can use the information they gather about our behaviors, preferences, interests, incomes, and so on to manipulate us. Yet what it means, exactly, to manipulate someone, and how we might systematically distinguish cases of manipulation from other forms of influence—such as persuasion and coercion—has not been thoroughly enough explored in light of the unprecedented capacities that information technologies and digital media enable. In this paper, we develop a definition of manipulation that (...) addresses these enhanced capacities, investigate how information technologies facilitate manipulative practices, and describe the harms—to individuals and to social institutions—that flow from such practices. -/- We use the term “online manipulation” to highlight the particular class of manipulative practices enabled by a broad range of information technologies. We argue that at its core, manipulation is hidden influence—the covert subversion of another person’s decision-making power. We argue that information technology, for a number of reasons, makes engaging in manipulative practices significantly easier, and it makes the effects of such practices potentially more deeply debilitating. And we argue that by subverting another person’s decision-making power, manipulation undermines his or her autonomy. Given that respect for individual autonomy is a bedrock principle of liberal democracy, the threat of online manipulation is a cause for grave concern. (shrink)

Since 2016, when the Facebook/Cambridge Analytica scandal began to emerge, public concern has grown around the threat of “online manipulation”. While these worries are familiar to privacy researchers, this paper aims to make them more salient to policymakers — first, by defining “online manipulation”, thus enabling identification of manipulative practices; and second, by drawing attention to the specific harms online manipulation threatens. We argue that online manipulation is the use of information technology to covertly influence another person’s decision-making, by targeting (...) and exploiting their decision-making vulnerabilities. Engaging in such practices can harm individuals by diminishing their economic interests, but its deeper, more insidious harm is its challenge to individual autonomy. We explore this autonomy harm, emphasising its implications for both individuals and society, and we briefly outline some strategies for combating online manipulation and strengthening autonomy in an increasingly digital world. (shrink)

My objective in the following study is to present and analyze the objections to the "classical argument" in the sociology of knowledge raised by Leo Strauss and Karl Popper. Building on this expository account, I will attempt to demonstrate (1) that the opposition of Strauss and Popper is more apparent and polemical than real, (2) that the position taken by Strauss and Popper on the viability of a sociology of knowledge is essentially no different from that taken by the discipline's (...) founders: Max Scheler, Karl Mannheim, and Georg Lukács, (3) that whatever the merits of Strauss and Popper's contentions, they become relevant only in the context of a radicalized version of the sociology of knowledge which developed subsequent to their formulation, and (4) that the sociology of knowledge has needlessly and deplorably become the battleground for meta?theoretical disputes that are irrelevant to its practice. (shrink)

The American justice system, from police departments to the courts, is increasingly turning to information technology for help identifying potential offenders, determining where, geographically, to allocate enforcement resources, assessing flight risk and the potential for recidivism amongst arrestees, and making other judgments about when, where, and how to manage crime. In particular, there is a focus on machine learning and other data analytics tools, which promise to accurately predict where crime will occur and who will perpetrate it. Activists and academics (...) have begun to raise critical questions about the use of these tools in policing contexts. In this chapter, I review the emerging critical literature on predictive policing and contribute to it by raising ethical questions about the use of predictive analytics tools to identify potential offenders. Drawing from work on the ethics of profiling, I argue that the much-lauded move from reactive to preemptive policing can mean wrongfully generalizing about individuals, making harmful assumptions about them, instrumentalizing them, and failing to respect them as full ethical persons. I suggest that these problems stem both from the nature of predictive policing tools and from the sociotechnical contexts in which they are implemented... (shrink)

For several years, scholars have (for good reason) been largely preoccupied with worries about the use of artificial intelligence and machine learning (AI/ML) tools to make decisions about us. Only recently has significant attention turned to a potentially more alarming problem: the use of AI/ML to influence our decision-making. The contexts in which we make decisions—what behavioral economists call our choice architectures—are increasingly technologically-laden. Which is to say: algorithms increasingly determine, in a wide variety of contexts, both the sets of (...) options we choose from and the way those options are framed. Moreover, artificial intelligence and machine learning (AI/ML) makes it possible for those options and their framings—the choice architectures—to be tailored to the individual chooser. They are constructed based on information collected about our individual preferences, interests, aspirations, and vulnerabilities, with the goal of influencing our decisions. At the same time, because we are habituated to these technologies we pay them little notice. They are, as philosophers of technology put it, transparent to us—effectively invisible. I argue that this invisible layer of technological mediation, which structures and influences our decision-making, renders us deeply susceptible to manipulation. Absent a guarantee that these technologies are not being used to manipulate and exploit, individuals will have little reason to trust them. (shrink)

BackgroundCommunity engagement within biomedical research is broadly defined as a collaborative relationship between a research team and a group of individuals targeted for research. A Community Advisory Board is one mechanism of engaging the community. Within genomics research CABs may be particularly relevant due to the potential implications of research findings drawn from individual participants on the larger communities they represent. Within such research, CABs seek to meet instrumental goals such as protecting research participants and their community from research-related risks, (...) as well as intrinsic goals such as promoting the respect of participants and their community. However, successful community engagement depends on the degree to which CABs legitimately represent and engage with communities targeted for research. Currently, there is little literature describing the use of CABs in genomics research taking place in developing countries, and even less in the field of genomics research relating to mental illness. The aim of this article is to describe and consider the contributions made by a researcher-driven, population-specific CAB in a genomics of schizophrenia research project taking place in South Africa, from the perspective of the research team.DiscussionFour broad discussion topics emerged during the CAB meetings namely: 1) informed consent procedures, 2) recruitment strategies, 3) patient illness beliefs and stigma experiences, and 4) specific ethical concerns relating to the project. The authors consider these discussions in terms of their contributions to instrumental and intrinsic goals of community engagement.SummaryThe CAB gave valuable input on the consent processes and materials, recruitment strategies and suggested ways of minimizing the potential for stigma and discrimination. All of these contributions were of an instrumental nature, and helped improve the way in which the research took place. In addition, and perhaps more importantly, the CAB made a unique and important contribution relating to intrinsic functions such as promoting the respect and dignity of research participants and their community. This was particularly evident in ensuring sensitivity and respect of the community’s traditional beliefs about schizophrenia and its treatment, and in this way promoting a respectful relationship between the research team and the participants. (shrink)

Differential privacy (DP) aims to confer data processing systems with inherent privacy guarantees, offering strong protections for personal data. But DP’s approach to privacy carries with it certain assumptions about how mathematical abstractions will be translated into real-world systems, which—if left unexamined and unrealized in practice—could function to shield data collectors from liability and criticism, rather than substantively protect data subjects from privacy harms. This article investigates these assumptions and discusses their implications for using DP to govern data-driven systems. In (...) Parts 1 and 2, we introduce DP as, on one hand, a mathematical framework and, on the other hand, a kind of real-world sociotechnical system, using a hypothetical case study to illustrate how the two can diverge. In Parts 3 and 4, we discuss the way DP frames privacy loss, data processing interventions, and data subject participation, arguing it could exacerbate existing problems in privacy regulation. In part 5, we conclude with a discussion of DP’s potential interactions with the endogeneity of privacy law, and we propose principles for best governing DP systems. In making such assumptions and their consequences explicit, we hope to help DP succeed at realizing its promise for better substantive privacy protections. (shrink)

Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is still unclear. These developments raise pressing ethical questions, about which existing ethics frameworks are silent. Understanding these challenges through the lens of “cognitive security,” we argue, offers a promising approach.

The dominant legal and regulatory approach to protecting information privacy is a form of mandated disclosure commonly known as “notice-and-consent.” Many have criticized this approach, arguing that privacy decisions are too complicated, and privacy disclosures too convoluted, for individuals to make meaningful consent decisions about privacy choices—decisions that often require us to waive important rights. While I agree with these criticisms, I argue that they only meaningfully call into question the “consent” part of notice-and-consent, and that they say little about (...) the value of notice. We ought to decouple notice from consent, and imagine notice serving other normative ends besides readying people to make informed consent decisions. (shrink)

Mind attribution may be divided into the subcategories of attribution of agency, associated with moral agency, and attribution of experience and emotion, associated with moral concern and moral patiency (Gray et al. Science 315(5812):619, 2007; Gray et al. Proceedings of the National Academy of Sciences of the United States of America 108(2):477–479, 2011b; Robbins and Jack Philosophical Studies 127(1):59–85, 2006). In this paper I attend to social context and the different psychological needs influencing the different types of mind attribution. A (...) need for social connection drives the attribution of experiences and emotions. The individual’s capacity to regulate emotional reactions is crucial for empathic concern. I further relate differences of mind attribution, attention, and emotional processing, to two different modes of functioning: In an interactive state of mind (comparable to the “second-person perspective” described by Schilbach et al. Behavioral and Brain Sciences, in press), social and emotional cues are attended to; In a detached task-oriented state of mind it may be beneficial to predict the behaviors of others but emotional information may not be attended to. The complexity and plasticity of mind attribution, including the possibility to train attentional mechanisms and regulation of emotions, is promising for the field of moral enhancement. (shrink)

The dominant approach in privacy theory defines information privacy as some form of control over personal information. In this essay, I argue that the control approach is mistaken, but for different reasons than those offered by its other critics. I claim that information privacy involves the drawing of epistemic boundaries—boundaries between what others should and shouldn’t know about us. While controlling what information others have about us is one strategy we use to draw such boundaries, it is not the only (...) one. We conceal information about ourselves and we reveal it. And since the meaning of information is not self-evident, we also work to shape how others contextualize and interpret the information about us that they have. Information privacy is thus about more than controlling information; it involves the constant work of producing and managing public identities, what I call “social self- authorship.” In the second part of the essay, I argue that thinking about information privacy in terms of social self- authorship helps us see ways that information technology threatens privacy, which the control approach misses. Namely, information technology makes social self- authorship invisible and unnecessary, by making it difficult for us to know when others are forming impressions about us, and by providing them with tools for making assumptions about who we are which obviate the need for our involvement in the process. (shrink)

This study aims to investigate the role of self-construal in sharpening reputation judgment on earnings management cases. This study involves a personality variable that can provide sharper insights into individual assessments, namely self-construal. The study uses an experimental case with involved participants to judge the ethics of earnings management done by other managers (the target managers). Participants of this study consist of 109 master’s degree students majoring in accounting and management who acts as fellow managers. Participants provide ethical judgment and (...) reputation judgment of the target managers. This study indicates that ethical judgment on earnings management behavior differs depending on the target managers’ self-construal. In addition, ethical judgment has a positive and significant effect on reputation judgment. The following analysis showed that ethical judgment mediates the effect of earnings management behavior that self-construal moderates on reputation judgment. Studies that highlight the impact of managers’ reputation engaging in earnings management are still limited. This study used a behavioral approach, especially involving self-construal, to scrutinize the behavior of individuals within the organization, which is previous studies have not yet involved that personality factor. This research’s results imply that a manager’s response to peer’s behavior is helpful to design an appropriate management control system for organizations. This study only used earnings management scenarios in order to increase earnings. Earnings management can be in the form of actions to increase or decrease earnings. (shrink)

Throughout the 20th century, market capitalism was defended on parallel grounds. First, it promotes freedom by enabling individuals to exploit their own property and labor-power; second, it facilitates an efficient allocation and use of resources. Recently, however, both defenses have begun to unravel—as capitalism has moved into its “platform” phase. Today, the pursuit of allocative efficiency, bolstered by pervasive data surveillance, often undermines individual freedom rather than promoting it. And more fundamentally, the very idea that markets are necessary to achieve (...) allocative efficiency has come under strain. Even supposing, for argument’s sake, that the claim was true in the early 20th century when von Mises and Hayek pioneered it, advances in computing have rekindled the old “socialist calculation” debate. And this time around, markets—as information technology—are unlikely to have the upper hand. -/- All of this, we argue, raises an important set of governance questions regarding the political economy of the future. We focus on two: How much should our economic system prioritize freedom, and to what extent should it rely on markets? The arc of platform capitalism bends, increasingly, toward a system that neither prioritizes freedom nor relies on markets. And the dominant critical response, exemplified by Shoshana Zuboff’s work, has been to call for a restoration of market capitalism. Longer term, however, we believe it would be more productive to think about how “postmarket” economic arrangements might promote freedom—or better yet, autonomy—even more effectively than markets, and to determine the practical steps necessary to realize that possibility. (shrink)

Surveillance studies scholars and privacy scholars have each developed sophisticated, important critiques of the existing data-driven order. But too few scholars in either tradition have put forward alternative substantive conceptions of a good digital society. This, I argue, is a crucial omission. Unless we construct new “sociotechnical imaginaries,” new understandings of the goals and aspirations digital technologies should aim to achieve, the most surveillance studies and privacy scholars can hope to accomplish is a less unjust version of the technology industry’s (...) own vision for the future. (shrink)

One of the main features of Italian feminism of "difference," as seen from an international perspective, is its distinctly political vocation. This vocation is not only, nor especially, limited to the perimeter of a gender politics, but is to be found in the radical critique or in the rethinking of traditional political categories, in the invention of new practices, in the redefinition of the very sphere of politics and in the modes of its transformation. The Italian case, as far as (...) feminism is concerned, is also characterised by the fact that this feminist political critique has been carried on for more than three decades alongside a crisis of traditional politics. The aim of this essay is twofold: one the one hand I analyse the relationship between political crisis and a critique of politics as seen in the larger framework of the relationship between the demise of patriarchy and the end of modern politics; on the other, I examine the resources which may derive from a feminist thought and practice in the present season, which, in Italy, seems marked not only by a crisis but by the collapse of democratic politics. (shrink)

Automated influence, delivered by digital targeting technologies such as targeted advertising, digital nudges, and recommender systems, has attracted significant interest from both empirical researchers, on one hand, and critical scholars and policymakers on the other. In this paper, we argue for closer integration of these efforts. Critical scholars and policymakers, who focus primarily on the social, ethical, and political effects of these technologies, need empirical evidence to substantiate and motivate their concerns. However, existing empirical research investigating the effectiveness of these (...) technologies (or lack thereof), neglects other morally relevant effects—which can be felt regardless of whether or not the technologies "work" in the sense of fulfilling the promises of their designers. Drawing from the ethics and policy literature, we enumerate a range of questions begging for empirical analysis—the outline of a research agenda bridging these fields—and issue a call to action for more empirical research that takes these urgent ethics and policy questions as their starting point. (shrink)

As the COVID-19 pandemic continues to evolve, taking its toll on people’s lives around the world, vaccine passports remain a contentious topic of debate in most liberal democracies. While a small literature on vaccine passports has sprung up over the past few years that considers their ethical pros and cons, in this paper we focus on the question of when vaccine passports are politically legitimate. Specifically, we put forward a ‘public reason ethics framework’ for resolving ethical disputes and use the (...) case of vaccine passports to demonstrate how it works. The framework walks users through a structured analysis of a vaccine passport proposal to determine whether the proposal can be publicly justified and is therefore legitimate. Use of this framework may also help policymakers to design more effective vaccine passports, by incorporating structured input from the public, and thereby better taking the public’s interests and values into account. In short, a public reason ethics framework is meant to encourage better, more legitimate decision-making, resulting in policies that are ethically justifiable, legitimate and effective. (shrink)

The 2010s were a golden age of information privacy research, but its policy accomplishments tell a mixed story. Despite significant progress on the development of privacy theory and compelling demonstrations of the need for privacy in practice, real achievements in privacy law and policy have been, at best, uneven. In this chapter, I outline three broad shifts in the way scholars (and, to some degree, advocates and policy makers) are approaching privacy and social media. First, a change in emphasis from (...) individual to structural approaches. Second, increasing attention to the political economy of privacy—especially the business models of information companies, such as social media platforms. And third, a deeper understanding of privacy’s role in a healthy digital public sphere. (shrink)

Without doubt,veni vidi viciis one of the most famous quotations from Antiquity. It is well known that it was Julius Caesar who coined the renowned expression. Less frequently discussed is the fact that ‘I came, I saw, I conquered’ was announced as written text. According to Suetonius, Caesar paraded a placard displaying the wordsveni vidi viciin his triumph held over Pontus in 46b.c.(Suet.Iul. 37.2):Pontico triumpho inter pompae fercula trium verborum praetulit titulum VENI VIDI VICI non acta belli significantem sicut ceteris, (...) sed celeriter confecti notam.In his Pontic triumph he exhibited among the biers of the procession a placard (titulus) with three words VENI VIDI VICI, not to show the deeds performed in the war, as in the others, but to mark out how fast the war had been concluded. (shrink)

BackgroundVast sums are distributed based on grant peer review, but studies show that interrater reliability is often low. In this study, we tested the effect of receiving two short individual feedback reports compared to one short general feedback report on the agreement between reviewers.MethodsA total of 42 reviewers at the Norwegian Foundation Dam were randomly assigned to receive either a general feedback report or an individual feedback report. The general feedback group received one report before the start of the reviews (...) that contained general information about the previous call in which the reviewers participated. In the individual feedback group, the reviewers received two reports, one before the review period and one during the period. In the individual feedback group, the reviewers were presented with detailed information on their scoring compared with the review committee as a whole, both before and during the review period. The main outcomes were the proportion of agreement in the eligibility assessment and the average difference in scores between pairs of reviewers assessing the same proposal. The outcomes were measured in 2017 and after the feedback was provided in 2018.ResultsA total of 2398 paired reviews were included in the analysis. There was a significant difference between the two groups in the proportion of absolute agreement on whether the proposal was eligible for the funding programme, with the general feedback group demonstrating a higher rate of agreement. There was no difference between the two groups in terms of the average score difference. However, the agreement regarding the proposal score remained critically low for both groups.ConclusionsWe did not observe changes in proposal score agreement between 2017 and 2018 in reviewers receiving different feedback. The low levels of agreement remain a major concern in grant peer review, and research to identify contributing factors as well as the development and testing of interventions to increase agreement rates are still needed.Trial registrationThe study was preregistered at OSF.io/n4fq3. (shrink)

Advancing women’s empowerment and gender equality in agriculture is a recognised development goal, also within crop breeding. Increasingly, breeding teams are expected to use ‘market-based’ approaches to design more ‘demand-led’ and ‘gender-responsive’ crop varieties. Based on an institutional ethnography that includes high-profile development-oriented breeding initiatives, we unpack these terms using perspectives from political agronomy and feminist science and technology studies. By conceptualising the market as an ongoing, relational performance made up of discourses, practices and human and nonhuman actors, we trace (...) how the market is understood as an effective socioeconomic institution for soliciting demand, but also becomes a normative agenda. Construed as a demand variable, the relational and structural dimensions of gender are rendered less visible, which might strengthen rather than transform power relations’ status quo. On the other hand, a feminist science and technology perspective broadens the field of vision not only to the gendered dimensions of crop breeding, but also to the nonhuman actors, such as the crops and traits falling outside the market sphere of interest. By putting political agronomy and feminist science and technology studies into conversation, the article contributes to the development of a feminist political agronomy. (shrink)