Does trust play a significant role in the appreciation of art? If so, how does it operate? We argue that it does, and that the mechanics of trust operate both at a general and a particular level. After outlining the general notion of ‘art-trust’—the notion sketched is consistent with most notions of trust on the market—and considering certain objections to the model proposed, we consider specific examples to show in some detail that the experience of works of art, and the (...) attribution of art-relevant properties or characterisations to works of art, very often involves the notion of trust; in such cases—perhaps most or even, implicitly, all—the question ‘Do I trust the artist (or art-maker)?’, is inescapable. (shrink)

With automation of routine decisions coupled with more intricate and complex information architecture operating this automation, concerns are increasing about the trustworthiness of these systems. These concerns are exacerbated by a class of artificial intelligence that uses deep learning, an algorithmic system of deep neural networks, which on the whole remain opaque or hidden from human comprehension. This situation is commonly referred to as the black box problem in AI. Without understanding how AI reaches its conclusions, it is an open (...) question to what extent we can trust these systems. The question of trust becomes more urgent as we delegate more and more decision-making to and increasingly rely on AI to safeguard significant human goods, such as security, healthcare, and safety. Models that “open the black box” by making the non-linear and complex decision process understandable by human observers are promising solutions to the black box problem in AI but are limited, at least in their current state, in their ability to make these processes less opaque to most observers. A philosophical analysis of trust will show why transparency is a necessary condition for trust and eventually for judging AI to be trustworthy. A more fruitful route for establishing trust in AI is to acknowledge that AI is situated within a socio-technical system that mediates trust, and by increasing the trustworthiness of these systems, we thereby increase trust in AI. (shrink)

Here is a familiar liberal argument: just as it can be beneficial to establish a marketplace, in which producers of goods freely compete for the custom of consumers, it can be beneficial to establish a “marketplace of ideas,” in which defenders of ideas freely compete for the acceptance of those ideas by others. This paper is about the preconditions for the proper functioning of liberal marketplaces, and of marketplaces of ideas in particular. I will argue that, just as the proper (...) functioning of marketplaces, in general, requires certain kinds of mutual trust among their participants, the proper functioning of marketplaces of ideas requires certain kinds of mutual trust – which I unite under the heading of “intellectual trust” – among their participants. I apply this conclusion to one problem for the familiar liberal argument, the problem of offensive speech, by arguing that intellectual trust can partially mitigate the harms of offensive speech. (shrink)

Should one trust experts? My answer to this question is a qualified ‘no’. In this paper I explore the conditions under which it is rational to trust and defer to experts, and those under which it may be rational to refrain from doing so. I draw on two important factors for an actor’s trust in a partner: trust depends on the partner’s competence and on the partner’s interests. I propose that the conditions under which it is rational to trust and (...) defer to experts depend on the competences of the layperson and the expert, and the degree of interest alignment. I present a model that demonstrates that it can be practically infeasible and even logically impossible to determine the expert’s level of competence and the degree of interest alignment. Although it may sound pessimistic that one can rationally refrain from trusting experts, I will also explore some more optimistic conclusions. (shrink)

Neural devices have the capacity to enable users to regain abilities lost due to disease or injury – for instance, a deep brain stimulator (DBS) that allows a person with Parkinson’s disease to regain the ability to fluently perform movements or a Brain Computer Interface (BCI) that enables a person with spinal cord injury to control a robotic arm. While users recognize and appreciate the technologies’ capacity to maintain or restore their capabilities, the neuroethics literature is replete with examples of (...) concerns expressed about agentive capacities: A perceived lack of control over the movement of a robotic arm might result in an altered sense of feeling responsible for that movement. Clinicians or researchers being able to record and access detailed information of a person’s brain might raise privacy concerns. A disconnect between previous, current, and future understandings of the self might result in a sense of alienation. The ability to receive and interpret sensory feedback might change whether someone trusts the implanted device or themselves. Inquiries into the nature of these concerns and how to mitigate them has produced scholarship that often emphasizes one issue – responsibility, privacy, authenticity, or trust – selectively. However, we believe that examining these ethical dimensions separately fails to capture a key aspect of the experience of living with a neural device. In exploring their interrelations, we argue that their mutual significance for neuroethical research can be adequately captured if they are described under a unified heading of agency. On these grounds, we propose an “Agency Map” which brings together the diverse neuroethical dimensions and their interrelations into a comprehensive framework. With this, we offer a theoretically-grounded approach to understanding how these various dimensions are interwoven in an individual’s experience of agency. (shrink)

What do we expect of those whom we trust? Some argue that when we trust we are confident the trusted will act on moral motivations. But often we trust without appraising the trusted’s moral qualiti...

It is argued that trust is a performative kind and that the evaluative normativity of trust is a special case of the evaluative normativity of performances generally. The view is shown to have advantages over competitor views, e.g., according to which good trusting is principally a matter of good believing (e.g., Hieronymi, 2008; McMyler, 2011), or good affect (e.g., Baier, 1986; Jones, 1996), or good conation (e.g., Holton, 1994). Moreover, the view can be easily extended to explain good (and bad) (...) distrust, where the latter is understood as aimed (narrow-scoped) forbearance from trusting. The overarching framework—which assimilates the evaluative norms of trusting (and distrusting) to performance-theoretic norms—supplies us with an entirely new lens to view traditional philosophical problems about what is involved in trusting and distrusting well and badly, and thus, places our capacity to make progress on problems in this area on a new footing. (shrink)

Using research in social psychology, philosophers such as Gilbert Harman and John Doris argue that human beings do not have – and cannot acquire – character traits such as virtues. Along with defenders of virtue ethics such as Julia Annas and Rachana Kamtekar, they assume that this constitutes a dangerous attack on virtue ethics. I argue that even if virtues and vices did not exist and everyone accepted that truth, (1) we would continue to make attributions of character traits in (...) our ordinary practices and institutions and (2) it would still be useful to strategically harness – rather than suppress or ignore – our virtue (and vice) attributions. (shrink)

According to the Assurance Theory of testimony, in telling an audience something, a speaker offers their assurance that what is told is true, which is something like their guarantee, or promise, of truth. However, speakers also tell lies and say things they do not have the authority to back up. So why does understanding tellings to be a form of assurance explain how tellings can provide a reason for belief? This paper argues that reasons come once it is recognised that (...) tellings are trusted. And the logic by means of which trust gives reason to believe is quite general; it applies equally to belief that is based on evidence rather than assurance. Outlining this logic requires the introduction of the idea of epistemic presumptions, whose truth plays the role of ensuring a connection between believer, justification and truth. (shrink)

ABSTRACT This paper examines the question of whether recognition relations are based on trust. Theorists of recognition have acknowledged the ways in which recognition relations make us vulnerable to others but have largely neglected the underlying ‘webs of trust’ in which such relations are embedded. In this paper, I consider the ways in which the theories of recognition developed by Jürgen Habermas and Axel Honneth, not only point to our mutual vulnerability but also implicitly rely upon mutual relations of trust. (...) The paper first offers a novel examination of the relation between recognition, vulnerability and trust in Habermas’ account of communicative action with the aim of arguing that such a consideration helps to elucidate important features of recognition. My claim is that a consideration of the dynamics of recognition and vulnerability in language-use, leads to an acknowledgment of the forms of trust that not only underpin communicative action, but recognition more generally. I conclude by considering the elements that are underplayed in Habermas’ account by turning to an examination of Axel Honneth’s alternative affective theory of recognition, specifically considering the interrelation between vulnerability and recognition. In doing so, I also turn to a consideration of the kind of trust that must be assumed in Honneth’s account of mutual recognition and point to a recognitive notion of trust. (shrink)

What is epistemic self-trust? There is a tension in the way in which prominent accounts answer this question. Many construe epistemic trust in oneself as no more than reliance on our sub-personal cognitive faculties. Yet many accounts – often the same ones – construe epistemic trust in others as a normatively laden attitude directed at persons whom we expect to care about our epistemic needs. Is epistemic self-trust really so different from epistemic trust in others? I argue that it is (...) not. We certainly do rely on our cognitive faculties to achieve epistemic ends; but I argue that we also have the normatively rich sort of epistemic trust in ourselves. Moreover, there is a theoretical need for this normatively rich notion of epistemic self-trust: positing it yields the best account of how we secure important epistemic goods, including knowledge and recognition as knowers. I argue this by giving an account of epistemic trust in others and showing that it can be generalized to epistemic trust in oneself. (shrink)

While some trust theorists have adverted to the vulnerabilities involved in trust, especially vulnerability to betrayal, the literature on trust has not engaged with recent work on the ethics of vulnerability. This paper initiates a dialogue between these literatures, and in doing so begins to explore the complex interrelations between vulnerability and trust. More specifically, it aims to show how trust can both mitigate and compound vulnerability. Through a discussion of two examples drawn from literary sources, the paper also investigates (...) the effects of pathogenic vulnerability on the psychic economies of trust and distrust. (shrink)

Transparency is now a fundamental principle for data processing under the General Data Protection Regulation. We explore what this requirement entails for artificial intelligence and automated decision-making systems. We address the topic of transparency in artificial intelligence by integrating legal, social, and ethical aspects. We first investigate the ratio legis of the transparency requirement in the General Data Protection Regulation and its ethical underpinnings, showing its focus on the provision of information and explanation. We then discuss the pitfalls with respect (...) to this requirement by focusing on the significance of contextual and performative factors in the implementation of transparency. We show that human–computer interaction and human-robot interaction literature do not provide clear results with respect to the benefits of transparency for users of artificial intelligence technologies due to the impact of a wide range of contextual factors, including performative aspects. We conclude by integrating the information- and explanation-based approach to transparency with the critical contextual approach, proposing that transparency as required by the General Data Protection Regulation in itself may be insufficient to achieve the positive goals associated with transparency. Instead, we propose to understand transparency relationally, where information provision is conceptualized as communication between technology providers and users, and where assessments of trustworthiness based on contextual factors mediate the value of transparency communications. This relational concept of transparency points to future research directions for the study of transparency in artificial intelligence systems and should be taken into account in policymaking. (shrink)

In our interactions with science, we are often vulnerable; we do not have complete control of the situation and there is a risk that we, or those we love, might be harmed. This is not an emotionall...

In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making environments. With the rise of artificial intelligence and the ability of AI systems to make automated and self-learned decisions, a call for transparency of how such systems reach decisions has echoed within academic and policy circles. The term transparency, however, relates to multiple concepts, fulfills many functions, and holds different (...) promises that struggle to be realized in concrete applications. Indeed, the complexity of transparency for ADM shows tension between transparency as a normative ideal and its translation to practical application. To address this tension, we first conduct a review of transparency, analyzing its challenges and limitations concerning automated decision-making practices. We then look at the lessons learned from the development of Privacy by Design, as a basis for developing the Transparency by Design principles. Finally, we propose a set of nine principles to cover relevant contextual, technical, informational, and stakeholder-sensitive considerations. Transparency by Design is a model that helps organizations design transparent AI systems, by integrating these principles in a step-by-step manner and as an ex-ante value, not as an afterthought. (shrink)

Disputes over the nature of faith, as understood in the Judaeo-Christian tradition, sometimes focus on whether it is to be identified exclusively with trust in God or with loyalty/fidelity to God. Drawing on recent work on the semantic range of the Hebrew ʾĕmûnâ and Greek pistis lexicons, we argue for a multidimensional account of what it is to be a person of faith that includes trust and loyalty in combination. The Trust-Loyalty account, we maintain, makes better sense of the faith (...) of exemplars, including Abraham, and fits well with the biblical language of faith. Further, a normatively appropriate combination of trust and loyalty towards others is a recognizable social virtue, aimed at promoting flourishing relationships. Finally, we consider how to make sense of ancient and modern exemplars of faith who protest against God, such as Job and Elie Wiesel, and argue that the Trust-Loyalty view is uniquely well suited to accommodate them. (shrink)

Wearable robots and exoskeletons are relatively new technologies designed for assisting and augmenting human motor functions. Due to their different possible design applications and their intimate connection to the human body, they come with specific ethical, legal, and social issues, which have not been much explored in the recent ELS literature. This paper draws on expert consultations and a literature review to provide a taxonomy of the most important ethical, legal, and social issues of wearable robots. These issues are categorized (...) in wearable robots and the self, wearable robots and the other, and wearable robots in society. (shrink)

This chapter explores properties that bind individuals, knowledge, and communities, together. Section ‎‎1 introduces Hardwig’s argument from trust in others’ testimonies as entailing that trust is the glue ‎that binds individuals into communities. Section 2 asks “what grounds trust?” by exploring assessment ‎of collaborators’ explanatory responsiveness, formal indicators such as affiliation and credibility, ‎appreciation of peers’ tacit knowledge, game-theoretical considerations, and the role moral character ‎of peers, social biases, and social values play in grounding trust. Section 3 deals with establishing (...) ‎reliability standards for formation and breaching of trust. Different epistemic considerations and their ‎underpinning of inductive risks are examined through various communication routes within a ‎discipline, between disciplines, and to the public. Section 4 examines whether a collective entity can ‎be trusted over and above trust that is given to its individual members. Section 5 deals with the roles ‎technological artifacts play in distributed research and collective knowledge. It presents the common ‎view in which genuine trust cannot, in principle, be accorded to artifacts, so as an opposite view. We ‎show that what counts as a genuine object of trust is relevant to debates about the boundaries of ‎collective agency and as a criterion for extended cognitive systems.‎. (shrink)

In this paper, we develop an analysis of the structure and content of loneliness. We argue that this is an emotion of absence-an affective state in which certain social goods are regarded as out of reach for the subject of experience. By surveying the range of social goods that appear to be missing from the lonely person's perspective, we see what it is that can make this emotional condition so subjectively awful for those who undergo it, including the profound sense (...) of being unable to realise oneself, in collaboration with others. (shrink)

Trust is a topic of longstanding philosophical interest. It is indispensable to every kind of coordinated human activity, from sport to scientific research. Even more, trust is necessary for the successful dissemination of knowledge, and by extension, for nearly any form of practical deliberation and planning. Without trust, we could achieve few of our goals and would know very little. Despite trust’s fundamental importance in human life, there is substantial philosophical disagreement about what trust is, and further, how trusting is (...) normatively constrained and best theorized about in relation to other things we value. This entry is divided into three sections, which explore key (and sometimes interconnected) ethical and epistemological themes in the philosophy of trust: (1) The Nature of Trust; (2) The Normativity of Trust, and (3) The Value of Trust. (shrink)

Our life with art is suffused with trust. We don’t just trust one another’s aesthetic testimony; we trust one another’s aesthetic actions. Audiences trust artists to have made it worth their while; artists trust audiences to put in the effort. Without trust, audiences would have little reason to put in the effort to understand difficult and unfamiliar art. I offer a theory of aesthetic trust, which highlights the importance of trust in aesthetic sincerity. We trust in another’s aesthetic sincerity when (...) we rely on them to fulfill their commitments to act for aesthetic reasons — rather than for, say, financial, social, or political reasons. We feel most thoroughly betrayed by an artist, not when they make bad art, but when they sell out. This teaches us something about the nature of trust in general. According to many standard theories, trust involves thinking the trusted to be cooperative or good-natured. But trust in aesthetic sincerity is different. We trust artists to be true to their own aesthetic sensibility, which might involve selfishly ignoring their audience’s needs. Why do we care so much about an artist’s sincerity, rather than merely trusting them to make good art? We emphasize sincerity when wish to encourage originality, rather than to demand success along predictable lines. And we ask for sincerity when our goal is to discover a shared sensibility. In moral life, we often try to force convergence through coordinated effort. But in aesthetic life, we often hope for the lovely discovery that our sensibilities were similar all along. And for that we need to ask for sincerity, rather than overt coordination. (shrink)

A bi-level account of trust is developed and defended, one with relevance in ethics as well as epistemology. The proposed account of trust—on which trusting is modelled within a virtue-theoretic framework as a performance-type with an aim—distinguishes between two distinct levels of trust, apt and convictive, that take us beyond previous assessments of its nature, value, and relationship to risk assessment. While Sosa, in particular, has shown how a performance normativity model may be fruitfully applied to belief, my objective is (...) to apply this kind of model in a novel and principled way to trust. I conclude by outlining some of the key advantages of the performance-theoretic bi-level account of trust defended over more traditional univocal proposals. (shrink)

In this panel, we explore the future of value sensitive design (VSD). The stakes are high. Many in public and private sectors and in civil society are gradually realizing that taking our values seriously implies that we have to ensure that values effectively inform the design of technology which, in turn, shapes people’s lives. Value sensitive design offers a highly developed set of theory, tools, and methods to systematically do so.

One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...) human relationships, so proposing that AI should be trusted, is a very serious claim. This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust. While AI meets all of the requirements of the rational account of trust, it will be shown that this is not actually a type of trust at all, but is instead, a form of reliance. Ultimately, even complex machines such as AI should not be viewed as trustworthy as this undermines the value of interpersonal trust, anthropomorphises AI, and diverts responsibility from those developing and using them. (shrink)

You are sitting in Chez Panisse, Alice Waters’ acclaimed restaurant in Berkeley, California. After an extensively prepared, multi-course meal, out comes the dessert course: an unmodified but perfectly juicy, fresh peach. Many chefs serve such unmodified or barely-modified foods with the intention that they count as culinary art. This paper takes up the question of whether unmodified foods, served in the relevant institutional settings, can count as culinary art. I propose that there is a distinctive form of aesthetic trust involved (...) in formal culinary settings, and it plays a central role in many instances of culinary art. Culinary institutions summon aesthetic trust, which helps to explain why a dish of unmodified food served in an appropriate institutional setting can count as culinary art. (shrink)

Desert-realists maintain that those who do wrong without an excuse deserve blame. Desert-skeptics deny this, holding that though we may be responsible for our actions in some sense, we lack the kind of responsibility needed to deserve blame. In two recent papers, Randolph Clarke advances an innovative defense of desert-realism. He argues for deserved-guilt, the thesis that the guilty deserve to feel guilt. In his 2013 paper, Clarke suggests two strategies for defending deserved-guilt: the fitting-guilt strategy and the good-guilt strategy. (...) In his 2016 paper, Clarke issues a challenge to the desert-skeptic: he calls on them to provide a non-desert based account of guilt’s fittingness. In the first two thirds of the paper, I respond to Clarke’s challenge to the desert-skeptic, showing that guilt felt by the guilty is alethic-fitting, reason-fitting, and value-fitting. None of these notions of fittingness, I argue, are desert based. In the last third of the paper, I show how the work done in previous sections affords us the tools to finely diagnose the failures of both the fitting-guilt and the good-guilt strategies. Here, I draw on one of Clarke’s own insights—namely, that desert is intimately connected to the value of justice. I propose that showing that guilt is fitting, or again non-instrumentally good, fails to show that it is deserved because to show that it is deserved one must show that guilt is fitting or good in a sense that implicates justice. (shrink)

Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI (...) systems can be relied on, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely on AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice. (shrink)

Trust is a core feature of the physician-patient relationship, and risk is central to trust. Patients take risks when they trust their providers to care for them effectively and appropriately. Not all patients take these risks: some medical relationships are marked by mistrust and suspicion. Empirical evidence suggests that some patients and families of color in the United States may be more likely to mistrust their providers and to be suspicious of specific medical practices and institutions. Given both historical and (...) ongoing oppression and injustice in American medical institutions, such mistrust can be apt. Yet it can also frustrate patient care, leading to family and provider distress. In this paper, I propose one way that providers might work to reestablish trust by taking risks in signaling their own trustworthiness. This interpersonal step is not meant to replace efforts to remedy systemic injustice, but is an immediate measure for addressing mistrust in occurrent cases. (shrink)

One of the first things that comes to mind when we think of the special issue’s theme, “Trust in a Social and Digital World” is the epidemic of ‘fake news’ and a cluster of trust- relevant vices we commonly associate with those who share it, click on it, and believe it. Fake news consumers are, among other things, gullible and naïve. Many are also dogmatic: intellectually and/or emotionally tied to a view point, and as a result, too quick to uncritically (...) trust whatever aligns with it. Gullibility, naivety, and dogmatism are all examples of vices that lead to us trust when we shouldn’t. The effects of these kinds of vices can be dangerous. Our aim here, however, is to explore the other side of the coin: those character vices that lead us to refrain from trusting when we should trust. For ease of reference, call these vices of distrust. Vices of distrust are dangerous in their own right, and in ways that often harm others along with oneself. The three vices of distrust we want explore—with a particular focus on their manifestations online—are: closemindedness, emulousness, and arrogance. Each contributes to vicious distrust in its own distinctive way. (shrink)

Despite their many similarities, one apparent difference between the ethics of K.E. Løgstrup and Emmanuel Levinas concerns trust: Levinas does not analyse trust as a morally significant phenomenon, whereas Løgstrup makes it a central component of his moral phenomenology. This paper argues that an analysis of Løgstrupian trust nonetheless reveals at least three important commonalities between Levinas and Løgstrup’s moral projects: an understanding of war and ethics as metaphysical opposites; an emphasis on openness to the other as something that transcends (...) the prudential order of norms and laws; and a view of the ethical as that which breaks into and disrupts the order of human instrumental calculation. (shrink)

According to most accounts of trust, you can only trust other people (or groups of people). To trust is to think that another has goodwill, or something to that effect. I sketch a different form of trust: the unquestioning attitude. What it is to trust, in this sense, is to settle one’s mind about something, to stop questioning it. To trust is to rely on a resource while suspending deliberation over its reliability. Trust lowers the barrier of monitoring, challenging, checking, (...) and questioning. Trust sets up open pipelines between yourself and parts of the external world. Trust permits external resources to have a similar relationship to one as one’s internal cognitive faculties. This creates efficiency, but at the price of exquisite vulnerability. We must trust in this way because we are cognitively limited beings in a cognitively overwhelming world. Crucially, we can hold the unquestioning attitude towards objects and technologies. When I trust my climbing rope, I stop worrying about its reliability. When I trust my online calendaring system, I simply go to the events indicated, without question. But, one might worry, how could one ever hold such a normatively loaded attitude as trust towards mere objects? How could it ever make sense to feel betrayed by an object? Trust is our engine for expanding and outsourcing our agency — for binding external processes into our practical selves. Thus, we can be betrayed by our smartphones in the same way that we can be betrayed by our memory. When we trust, we try to make something a part of our agency, and we are betrayed when our part lets us down. To unquestioningly trust something is to let it in—to attempt to bring it inside one’s practical functioning. This suggests a new form of gullibility: agential gullibility, which occurs when agents too hastily and carelessly integrate external resources into their own agency. (shrink)

Autonomous vehicles, and the larger socio-technical systems that they are a part of are likely to have a deep and lasting impact on our societies. Trust is a key value that will play a role in the development of autonomous driving systems. This paper suggests that trust of autonomous driving systems will impact the ways that these systems are taken up, the norms and laws that guide them and the design of the systems themselves. Further to this, in order to (...) have autonomous driving systems that are worthy of our trust, we need a superstructure of oversight and a process that designs trust into these systems from the outset. Rather than banning or avoiding all autonomous vehicles should a tragedy occur, despite these systems having some level of risk, we want resilient systems that can survive tragedies, and indeed, improve from them. I will argue that trust plays a role in developing these resilient systems. (shrink)

We provide an analysis of the public's having warranted epistemic trust in science, that is, the conditions under which the public may be said to have well-placed trust in the scientists as providers of information. We distinguish between basic and enhanced epistemic trust in science and provide necessary conditions for both. We then present the controversy regarding the connection between autism and measles–mumps–rubella vaccination as a case study to illustrate our analysis. The realization of warranted epistemic public trust in science (...) requires various societal conditions, which we briefly introduce in the concluding section. (shrink)

Where there is trust, there is also vulnerability, and vulnerability can be exploited. Epistemic trust is no exception. This chapter maps the phenomenon of the exploitation of epistemic trust. I start with a discussion of how trust in general can be exploited; a key observation is that trust incurs vulnerabilities not just for the party doing the trusting, but also for the trustee (after all, trust can be burdensome), so either party can exploit the other. I apply these considerations to (...) epistemic trust, specifically in testimonial relationships. There, we standardly think of a hearer trusting a speaker. But we miss an important aspect of this relationship unless we consider too that the speaker standardly trusts the hearer. Given this mutual trust, and given that both trustees and trusters can exploit each other, we have four possibilities for exploitation in epistemic-trust relationships: a speaker exploiting a hearer (a) by accepting his trust or (b) by imposing her trust on him, and a hearer exploiting a speaker (c) by accepting her trust or (d) by imposing his trust on her. One result is that you do not need to betray someone to exploit him – you can exploit him just as easily by doing what he trusts you for. (shrink)

Bruno Latour is not the only scholar to reflect on his earlier contributions to science studies with some regret and resolve over climate skepticism and science denialism. Given the ascendency of merchants of doubt, should those who share Latour's concerns join the scientists they study in circling the wagons, or is there a productive role still for science studies to question and critique scientists and scientific institutions? I argue for the latter, looking to postpositivist feminist philosophy as exemplified by Alison (...) Wylie and Lynn Nelson, among others, as a guide. Feminist philosophers of science who ground their analysis in a detailed understanding of scientific practice are not science's champions nor its antagonists, but they do stand in a distinct relationship to science. If not merchants of doubt, are they scientific gadflies or perhaps in scientific loyal opposition? Though these notions can underwrite useful approaches to science studies, neither captures the distinctive interdependency and interestedness of feminist philosophers and science. I suggest that we would be better served by the notion of trustworthy science criticism, building on the analyses of trust and trustworthiness by Annette Baier, among others, attendant to the dynamics of interdependency in trust relationships. (shrink)

This paper is motivated by the need to respond to the spread of influential misinformation and manufactured ignorance, which places pressure on the work of experts in various sectors. To meet this need, the paper discusses the conditions required for expert testimony to evolve a reconceptualisation of negative capability as a new form of epistemic humility. In this regard, professional knowledge formation is not considered to be separate from the institutional and social processes and values that uphold its production. Drawing (...) attention to the structural and relational aspects of ignorance, as opposed to the individualistic and internal aspects, we rely on the sociology of knowledge, the social epistemologies and the feminist epistemologies that have played a fundamental role in the development of the investigation of ignorance. First, we analyse the criteria for epistemic humility based on prior theoretical discussions concerning negative knowledge as a form of reflective practice. Then, we seek to determine what kinds of strategies, virtues and skills experts need to have so as to ‘manage ignorance’ in socially complex situations. Finally, we suggest the reformulation of negative expertise as a phronetic skill for navigating through situations of ignorance and uncertainty in an epistemically and socially responsible manner. (shrink)

Deepfake technology uses machine learning to fabricate video and audio recordings that represent people doing and saying things they've never done. In coming years, malicious actors will likely use this technology in attempts to manipulate public discourse. This paper prepares for that danger by explicating the unappreciated way in which recordings have so far provided an epistemic backstop to our testimonial practices. Our reasonable trust in the testimony of others depends, to a surprising extent, on the regulative effects of the (...) ever-present possibility of recordings of the events they testify about. As deepfakes erode the epistemic value of recordings, we may then face an even more consequential challenge to the reliability of our testimonial practices themselves. (shrink)

I argue for the role of trust and cooperation as part of the foundation of digital commerce by expanding the reach of the Integrative Social Contract Theory of Donaldson and Dunfee. I propose that a digital business community can be a community in the morally relevant ways that Donaldson and Dunfee describe, and that the basic framework of ISCT can apply to the digital business world similarly to its application in the offline business world. I then analyze the roles of (...) trust and cooperation in e-commerce, showing how they are important to the digital business community and explaining their moral relevance under a digital form of ISCT. I use the ISCT framework to show that trust and cooperation are an instantiation of the hypernorm of necessary social efficiency, and that authentic microsocial norms developed for the ends of trust and cooperation carry moral responsibility. (shrink)

A bi-level account of trust is developed and defended, one with relevance in ethics as well as epistemology. The proposed account of trust—on which trusting is modelled within a virtue-theoretic framework as a performance-type with an aim—distinguishes between two distinct levels of trust, apt and convictive, that take us beyond previous assessments of its nature, value, and relationship to risk assessment. While Ernest Sosa (2009; 2015; 2017), in particular, has shown how a performance normativity model may be fruitfully applied to (...) belief, my objective is to apply this kind of model in a novel and principled way to trust. I conclude by outlining some of the key advantages of the performance-theoretic bi-level account of trust defended over more traditional univocal proposals. (shrink)

Philosophy and Phenomenological Research, EarlyView.

My claim in this article is that, contra what I take to be the orthodoxy in the wider literature, we do trust inanimate objects – per the example in the title, there are cases where people really do trust a ladder (to hold their weight, for instance), and, perhaps most importantly, that this poses a challenge to that orthodoxy. My argument consists of four parts. In Section 2 I introduce an alleged distinction between trust as mere reliance and trust as (...) a rich, morally loaded notion. In the course of doing so, I briefly sketch some models of trust. This will help us to get a handle on how some of the mainstream models of trust preclude or ignore the trusting of inanimate objects. In Section 3 I introduce cases designed to show that we have reason to think that we do trust inanimate objects. In Section 4 I consider an objection, and in Section 5 I discuss some consequences of this finding, before concluding in Section 6. (shrink)

In this article, I explore the role of affective feedback loops in creating and sustaining trust and distrust. Some emotions, such as fear and contempt, drive out trust; others, such as esteem and empathy, drive out distrust. The mechanism here is causal, but not merely causal: affective looping works through changing how the agent interprets the words, deeds, and motives of the other, thus making trust or distrust appear justified. Looping influences not only dyadic trust, but also climates, and networks (...) of trust and distrust. Not all trust-entrenching looping is virtuous, nor all distrust-entrenching looping vicious, but distrust looping is a powerful way to justify xenophobic public policy. I explore options for remedy. (shrink)

This volume has its roots in two recent developments within mainstream analytic epistemology: a growing recognition over the past two or three decades of the active and social nature of our epistemic lives; and, more recently still, the increasing appreciation of the various ways in which the epistemic practices of individuals and societies can, and often do, go wrong. The theoretical analysis of these breakdowns in epistemic practice, along with the various harms and wrongs that follow as a consequence, constitutes (...) an approach to epistemology that we refer to as non-ideal epistemology. In this introductory chapter we introduce and contextualise the ten essays that comprise this volume, situating them within four broad sub-fields: vice epistemology, epistemic injustice, inter-personal epistemic practices, and applied epistemology. We also provide a brief overview of several other important growth areas in non-ideal epistemology. (shrink)

Our ideas about forgiveness seem to oscillate between idealization and scepticism. How should we make sense of this apparent conflict? This paper argues that we should learn something from each, seeing these views as representing opposing moments in a perennial and well-grounded moral ambivalence towards forgiveness. Once we are correctly positioned, we shall see an aspect of forgiveness that recommends precisely this ambivalence. For what will come into view will be certain key psychological mechanisms of moral-epistemic influence – other-addressed and (...) self-addressed mechanisms of moral social construction – that enable forgiveness to function well when it is well-functioning, but which are also intrinsically prone to deterioration into one or another form of bad faith. Thus forgiveness is revealed as necessarily containing seeds of its own corruption, showing ambivalence to be a generically appropriate attitude. Moreover, it is emphasized that where forgiver and forgiven are relating to one another in the context of asymmetries of social power, the practice of forgiveness is likely to be further compromised, notably increasing the risk of negative influence on the moral-epistemic states of either the forgiver or the forgiven, or both. (shrink)

Much of the literature concerning epistemic injustice has focused on the variety of harms done to socially marginalized persons in their capacities as potentialcontributorsto knowledge projects. However, in order to understand the full implications of the social nature of knowing, we must confront the circulation of knowledge and the capacity of epistemic agents to take up knowledge produced by others and make use of it. I argue that members of socially marginalized lay communities can sufferepistemic trust injusticeswhen potentially powerful forms (...) of knowing such as scientific understandings are generated in isolation from them, and when the social conditions required for aresponsibly-placed trustto be formed relative to the relevant epistemic institutions fail to transpire. (shrink)

There is a well-developed literature on trust. Distrust, on the other hand, has gathered far less attention in the philosophical literature. A recent exception to that trend in the philosophical literature is Hawley who develops a unified account of both trust and distrust. My aim in this paper is to present arguments against her account of trust and distrust, though then to also suggest a patch.