In our life with science, we trust experts; we form judgements by inference from past evidence. We conduct ourselves very differently in the aesthetic domain. We avoid deferring to aesthetic experts. We form our judgements through direct perception of particulars rather than through inference. Why the difference? I suggest that we avoid aesthetic testimony and aesthetic inference, not because they’re unusable, but because we have adopted social norms to avoid them. Aesthetic appreciation turns out to be something like a game. (...) We have laid down certain rules and restrictions in order to shape a kind of activity we cherish. And aesthetic properties turn out to be a kind of social construct. Much like the goal of a game, they are constituted in part by our obedience to certain rules. The norms of aesthetic life are different from those of science because our purposes are different. We engage in science to get the right answers; we engage in aesthetic appreciation to be absorbed in the activity of the sensuous perception of particulars. Our aesthetic practices are a constructed shelter from science; they restore to us a small domain where we may once again engage in our own sensuous perception of particulars. (shrink)

In this paper, I distinguish three general approaches to public trust in science, which I call the individual approach, the semi-social approach, and the social approach, and critically examine their proposed solutions to what I call the problem of harmful distrust. I argue that, despite their differences, the individual and the semi-social approaches see the solution to the problem of harmful distrust as consisting primarily in trying to persuade individual citizens to trust science and that both approaches face two general (...) problems, which I call the problem of overidealizing science and the problem of overburdening citizens. I then argue that in order to avoid these problems we need to embrace a (thoroughly) social approach to public trust in science, which emphasizes the social dimensions of the reception, transmission, and uptake of scientific knowledge in society and the ways in which social forces influence both positively and negatively the trustworthiness of science. (shrink)

This paper develops a novel, bifocal account of trustworthiness according to which both trustworthinesssimpliciter(as in ‘Ann is trustworthy’) and trustworthiness tophi(as in ‘Ann is trustworthy when it comes to keeping your secrets’) are analysed in terms of dispositions to fulfil one's obligations. We also offer a systematic account of the relation between the two types of trustworthiness, an account of degrees of trustworthiness and comparative trustworthiness, as well as a view of permissible trustworthiness attribution.

This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is exercised by AI (...) practitioners through the vehicle of an AI application. I conclude with four critical questions based on the discretionary account to determine if trust in particular AI applications is sound, and a brief discussion of the possibility that the main roles of the physician could be replaced by AI. (shrink)

When trust is broken, how should we determine who is at fault? Previous discus- sions of broken trust typically attribute the fault to trusters who place trust foolishly or trustees who act in an untrustworthy manner. These discussions take for granted the ability of the truster and trustee to communicate and understand the boundaries of what is being entrusted, that is, the domain of trust. However, the boundaries of entrusted domains are not always clear to either party which can result (...) in broken trust despite the best efforts of both truster and trustee. In this paper, I argue that deter- mining who to blame when trust is broken is a messy affair in which disagreements over fault regularly arise. I introduce three features of trust domains that take center stage in negotiations regarding who is at fault when trust is broken: scope, rigidity and ordering. (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)

It has been alleged that the demands of friendship conflict with the norms of epistemology—in particular, that there are cases in which the moral demands of friendship would require one to give a friend the benefit of the doubt, and thereby come to believe something in violation of ordinary epistemic standards on justified or responsible belief :329–351, 2004; Stroud in Ethics 116:498–524, 2006; Hazlett in A luxury of the understanding: on the value of true belief, Oxford University Press, Oxford, 2013). (...) The burden of this paper is to explain these appearances away. I contend that the impression of epistemic partiality in friendship dissipates once we acknowledge the sorts of practical and epistemic reasons that are generated by our values: value-reflecting reasons. The present proposal has several virtues: it requires fewer substantial commitments than other proposals seeking to resist the case for epistemic partiality ; it is independently motivated, as it cites a phenomenon—value-reflecting reasons—we have independent reasons to accept; it provides a single, unified account of how various features of friendship bear on belief-formation; and makes clear how it is the very value we place on friendship itself that ensures against epistemic partiality. (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)

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)

A widespread assumption in debates about trust and trustworthiness is that the evaluative norms of principal interest on the trustor’s side of a cooperative exchange regulate trusting attitudes and performances whereas those on the trustee’s side regulate dispositions to respond to trust. The aim here will be to highlight some unnoticed problems with this asymmetrical picture – and in particular, how it elides certain key evaluative norms on both the trustor’s and trustee’s side the satisfaction of which are critical to (...) successful cooperative exchanges – and to show that a symmetrical, ‘achievement-first’ approach to theorising about trust and trustworthiness (and their relation to each other) has important advantages by comparison. The view I develop is guided by a structural analogy with practical reasoning. Just as practical reasoning is working as it should only when there is realisation (knowledge and action) of states (belief and intention) with reverse directions of fits (mind-to-world and world-to-mind), likewise, cooperation between trustor and trustee is functioning as it should only when there is an analogous kind of realisation on both sides of the cooperative exchange – viz., when the trustor ‘matches’ her achievement in trusting (an achievement in fitting reliance to reciprocity) with the trustee’s achievement in responding to trust (an achievement in fitting reciprocity to reliance). An upshot of viewing cooperation between trustor and trustee as exhibiting achievement-theoretic structure is that we will be better positioned to subsume trustworthiness (and its cognates on the trustee’s side), like trust, under a wider suite of evaluative norms that regulate attempts, dispositions, and achievements symmetrically on both sides of a cooperative exchange, with ‘matching achievements’ as the gold standard. (shrink)

Most philosophical discussion of trust focuses on the three-place trust predicate: X trusting Y to φ. This article argues that it is the one-place and two-place predicates – X is trusting, and X trusting Y – that are fundamental.

In this open access book, Timothy Aylsworth and Clinton Castro draw on the deep well of Kantian ethics to argue that we have moral duties, both to ourselves and to others, to protect our autonomy from the threat posed by the problematic use of technology. The problematic use of technologies like smartphones threatens our autonomy in a variety of ways, and critics have only begun to appreciate the vast scope of this problem. In the last decade, we have seen a (...) flurry of books making “self-help” arguments about how we could live happier, more fulfilling lives if we were less addicted to our phones. But none of these authors see this issue as one involving a moral duty to protect our autonomy. (shrink)

There has been a surge of interest in explainable artificial intelligence (XAI). It is commonly claimed that explainability is necessary for trust in AI, and that this is why we need it. In this paper, I argue that for some notions of trust it is plausible that explainability is indeed a necessary condition. But that these kinds of trust are not appropriate for AI. For notions of trust that are appropriate for AI, explainability is not a necessary condition. I thus (...) conclude that explainability is not necessary for trust in AI that matters. (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)

Powered by ‘big health data’ and enormous gains in computing power, artificial intelligence and related technologies are already changing the healthcare landscape. Harnessing the potential of these technologies will necessitate partnerships between health institutions and commercial companies, particularly as it relates to sharing health data. The need for commercial companies to be trustworthy users of data has been argued to be critical to the success of this endeavour. I argue that this approach is mistaken. Our interactions with commercial companies need (...) not, and should not, be based on trust. Rather, they should be based on confidence. I begin by elucidating the differences between trust, reliability, and confidence, and argue that trust is not the appropriate attitude to adopt when it comes to sharing data with commercial companies. I argue that what we really should want is confidence in a system of data sharing. I then provide an outline of what a confidence-worthy system of data sharing with commercial companies might look like, and conclude with some remarks about the role of trust within this system. (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)

I challenge the common view that trust is characteristically risky compared to distrust by drawing attention to the moral and epistemic risks of distrust. Distrust that is based in real fear yet fails to target ill will, lack of integrity, or incompetence, serves to marginalize and exclude individuals who have done nothing that would justify their marginalization or exclusion. I begin with a characterization of the suite of behaviors characteristic of trust and distrust. I then survey the epistemic and moral (...) hazards of distrust, in particular, distrust’s propensity to bias interpretation, to perpetuate itself, to confirm itself, to dishonor, and to insult. Taking seriously these moral and epistemic hazards requires taking affirmative measures to respond to them. I elaborate one such response: “humble trust”. The practice of humble trust issues from skepticism about the warrant of one’s own felt attitudes of trust and distrust, curiosity about who might be unexpectedly responsive to trust and in which contexts, and commitment to abjure and to avoid distrust of the trustworthy. Humble trust enables individuals to trust that they will be trusted. (shrink)

The significance of big data for driving health research and improvements in patient care is well recognised. Along with these potential benefits, however, come significant challenges, including those concerning the sharing and linkage of health and social care records. Recently, there has been a shift in attention towards a paradigm of data sharing centred on the ‘trusted research environment’ (TRE). TREs are being widely adopted by the UK’s health data initiatives including Health Data Research UK (HDR UK),1 Our Future Health2 (...) and Genomics England.3 A recent review commissioned by the UK’s Department of Health and Social Care (hereafter referred to as the ‘Goldacre Review’) places TREs at the heart of its recommendations around the future of National Health Service (NHS) health data sharing for research, describing them as the ‘clear path forward’ to a health data system in which trust is ‘earned’ through ‘provable, credible steps to protect patient privacy, and by being transparent with everyone about everything that is done with their deepest medical secrets’.4 We argue that rather than building public trust, the TRE model actually reduces the need for trust in the use and sharing of patient health data. This is because trust is importantly connected to vulnerability and uncertainty; an essential part of trusting someone is accepting that one’s trust could be disappointed or betrayed. In attempting to provide assurances or guarantees of data privacy and security, TREs strive to remove this vulnerability, and so remove the need for trust. We do not see this as a problem and are broadly supportive of this kind of data sharing model because of the increased security and oversight it provides. However, having argued that TREs are not actually concerned with trust, we consider the importance of being precise about the words that we use …. (shrink)

In this paper we argue that moral deference is prima facie obligatory in cases in which the testifier is a member of a marginalized social group that the receiver is not and testifies about their marginalized experience. We distinguish between two types of deference: epistemic deference, which refers to believing p in virtue of trusting the testifier, and actional deference, which involves acting appropriately in response to the testimony given. The prima facie duty we propose applies to both epistemic and (...) actional deference, though defeaters may quash either or both obligations. Even if one fails to epistemically defer to the marginalized testifier, we argue that they may still be ethically obligated to act in accordance with their testimony. (shrink)

Argumentation is important for sharing knowledge and information. Given that the receiver of an argument purportedly engages first and foremost with its content, one might expect trust to play a negligible epistemic role, as opposed to its crucial role in testimony. I argue on the contrary that trust plays a fundamental role in argumentative engagement. I present a realistic social epistemological account of argumentation inspired by social exchange theory. Here, argumentation is a form of epistemic exchange. I illustrate my argument (...) with two real-life examples: vaccination hesitancy, and the undermining of the credibility of traditional sources of information by authoritarian politicians. (shrink)

When are we obligated to believe someone? To what extent are people authorities about their own experiences? What kind of harm might we enact when we doubt? Questions like these lie at the heart of many debates in social and feminist epistemology, and they’re the driving issue behind a key conceptual framework in these debates—gaslighting. But while the concept of gaslighting has provided fruitful insight, it's also proven somewhat difficult to adjudicate, and seems prone to over-application. In what follows, I (...) argue that Katherine Hawley's theory of trust can provide a useful alternative lens for looking at contested testimony. To do this, I focus on a particularly complex—but increasingly popular—application of gaslighting: the physician/patient relationship, and the idea of ‘medical gaslighting’. I argue that, even though patients can experience harm when they are disbelieved, there are nevertheless good reasons for physicians not to trust patients about at least some of their own narratives. (shrink)

How does trust relate to faith? We do not know of a theory-neutral way to answer our question. So, we begin with what we regard as a plausible theory of faith according to which, in slogan form, faith is resilient reliance. Next, we turn to contemporary theories of trust. They are not of one voice. Still, we can use them to indicate ways in which trust and faith might both differ from and resemble each other. This is what we do. (...) Along the way, we evaluate substantive issues related to these possible differences and similarities. (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)

I argue for an account of the vulnerability of trust, as a product of our need for secure social attachments to individuals and to a group. This account seeks to explain why it is true that, when we trust or distrust someone, we are susceptible to being betrayed by them, rather than merely disappointed or frustrated in our goals. What we are concerned about in matters of trust is, at the basic level, whether we matter, in a non-instrumental way, to (...) that individual, or to the group of which they are a member. We have this concern as a result of a drive to form secure social attachments. This makes us vulnerable in the characteristic way of being susceptible to betrayal, because how the other acts in such matters can demonstrate our lack of worth to them, or to the group, thereby threatening the security of our attachment, and eliciting the reactive attitudes characteristic of betrayal. (shrink)

When it comes to using patient data from the National Health Service for research, we are often told that it is a matter of trust: we need to trust, we need to build trust, we need to restore trust. Various policy papers and reports articulate and develop these ideas and make very important contributions to public dialogue on the trustworthiness of our research institutions. But these documents and policies are apparently constructed with little sustained reflection on the nature of trust (...) and trustworthiness, and therefore are missing important features that matter for how we manage concerns related to trust. We suggest that what we mean by ‘trust’ and ‘trustworthiness’ matters and should affect the policies and guidance that govern data sharing in the NHS. We offer a number of initial, general reflections on the way in which some of these features might affect our approach to principles, policies and strategies that are related to sharing patient data for research. This paper is the outcome of a ‘public ethics’ coproduction activity which involved members of the public and two academic ethicists. Our task was to consider collectively the accounts of trust developed by philosophers as they applied in the context of the NHS and to coproduce an argumentative position relevant to this context. (shrink)

This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...) and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front. (shrink)

Artificial intelligence is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to address what is identified as a "public trust deficit". This paper argues that a focus on trust (...) as the basis upon which a relationship between this new technology and the public is built is, at best, ineffective, at worst, inappropriate or even dangerous, as it diverts attention from what is actually needed to actively warrant trust. Instead of agonising about how to facilitate trust, a type of relationship which can leave those trusting vulnerable and exposed, we argue that efforts should be focused on the difficult and dynamic process of ensuring reliance underwritten by strong legal and regulatory frameworks. From there, trust could emerge but not merely as a means to an end. Instead, as something to work in practice towards; that is, the deserved result of an ongoing ethical relationship where there is the appropriate, enforceable and reliable regulatory infrastructure in place for problems, challenges and power asymmetries to be continuously accounted for and appropriately redressed. Data sharing not applicable as no datasets generated and/or analysed for this study. (shrink)

I consider Katherine Hawley's commitment account of interpersonal trustworthiness alongside her sceptical challenge regarding the value of philosophically modelling institutional trustworthiness as distinct from reliability. I argue, pace Hawley's challenge, that there would be significant diagnostic and explanatory loss if we were to content ourselves with ideas of institutional (un)reliability alone; and I offer an illustrative case where institutional unreliability is only the half of it, indicating that when it comes to certain kinds of institutional dysfunction, we do need philosophical (...) models of institutional ‘distrustworthiness’ if we are to achieve a proper diagnosis. (shrink)

Overconfidence is typically damaging to one’s reputation as a trustworthy source of information. Previous research shows that the reputational cost associated with conveying a piece of false information is higher for confident than unconfident speakers. When judging speaker trustworthiness, individuals do not exclusively rely on past accuracy but consider the extent to which speakers expressed a degree of confidence that matched the accuracy of their claims (their “confidence-accuracy calibration”). The present study experimentally examines the interplay between confidence, accuracy and a (...) third factor, namely evidence, in the assessment of speaker trustworthiness. Experiment 1 probes the hypothesis that overconfidence does not backfire when a confident but inaccurate claim is justified: the trustworthiness of a confident speaker who turns out to be wrong is restored if the confidence expressed is based on strong evidence (good confidence-evidence calibration). Experiment 2 investigates the hypothesis that confidence can backfire if a confident and accurate claim is not justified: the trustworthiness of a confident speaker who turns out to be right is damaged if the confidence expressed is based on weak evidence (bad confidence-evidence calibration). Our results support both hypotheses and thus suggest that “confidence-evidence calibration” plays a crucial role in the assessment of speaker trustworthiness. (shrink)

This essay is dedicated to the memory of Katherine Hawley.1Bitcoin was invented to serve as a digital currency that demands no trust in financial institutions, such as commercial and central banks. This paper discusses metaphysical aspects of bitcoin, in particular the view that bitcoin is socially constructed, non-concrete, and genuinely exists. If bitcoin is socially constructed, then one may worry that this reintroduces trust in the communities responsible for the social construction. Although we may have to rely on certain communities, (...) I argue that social construction doesn’t imply a demand for trust because the relevant communities don’t take on any relevant commitments. Bitcoin is indeed trust-free. (shrink)

Public engagement is one of the fundamental pillars of the European programme for research and innovation _Horizon 2020_. The programme encourages engagement that not only fosters science education and dissemination, but also promotes two-way dialogues between scientists and the public at various stages of research. Establishing such dialogues between different groups of societal actors is seen as crucial in order to attain epistemic as well as social desiderata at the intersection between science and society. However, whether these dialogues can actually (...) help attaining these desiderata is far from obvious. This paper discusses some of the costs, risks, and benefits of dialogical public engagement practices, and proposes a strategy to analyse these argumentative practices based on a three-tiered model of epistemic exchange. As a case study, we discuss the phenomenon of vaccine hesitancy, arguably a result of suboptimal public engagement, and show how the proposed model can shed new light on the problem. (shrink)

Technologies can have profound effects on social moral systems. Is there any way to systematically investigate and anticipate these potential effects? This paper aims to contribute to this emerging field on inquiry through a case study method. It focuses on two core human values—truth and trust—describes their structural properties and conceptualisations, and then considers various mechanisms through which technology is changing and can change our perspective on those values. In brief, the paper argues that technology is transforming these values by (...) changing the costs/benefits of accessing them; allowing us to substitute those values for other, closely-related ones; increasing their perceived scarcity/abundance; and disrupting traditional value-gatekeepers. This has implications for how we study other, technologically-mediated, value changes. (shrink)

Distrust in scientific experts can be surprisingly stubborn, persisting despite evidence supporting the experts’ views, demonstrations of their competence, or displays of good will. This stubborn distrust is often viewed as a manifestation of irrationality. By contrast, this article proposes a logic of “status distrust”: low-status individuals are objectively vulnerable to collective decision-making, and can justifiably distrust high-status scientific experts if they are not confident that the experts do not have their best interests at heart. In phenomena of status distrust, (...) social status is thus an indicator of distrust, and this has wider implications for the literatures on trust in science and on expert communication. (shrink)

Artificial intelligence (AI) plays a rapidly increasing role in clinical care. Many of these systems, for instance, deep learning-based applications using multilayered Artificial Neural Nets, exhibit epistemic opacity in the sense that they preclude comprehensive human understanding. In consequence, voices from industry, policymakers, and research have suggested trust as an attitude for engaging with clinical AI systems. Yet, in the philosophical and ethical literature on medical AI, the notion of trust remains fiercely debated. Trust skeptics hold that talking about trust (...) in nonhuman agents constitutes a category error and worry about the concept being misused for ethics washing. Proponents of trust have responded to these worries from various angles, disentangling different concepts and aspects of trust in AI, potentially organized in layers or dimensions. Given the substantial disagreements across these accounts of trust and the important worries about ethics washing, we embrace a diverging strategy here. Instead of aiming for a positive definition of the elements and nature of trust in AI, we proceed ex negativo, that is we look at cases where trust or distrust are misplaced. Comparing these instances with trust expedited in doctor–patient relationships, we systematize these instances and propose a taxonomy of both misplaced trust and distrust. By inverting the perspective and focusing on negative examples, we develop an account that provides useful ethical constraints for decisions in clinical as well as regulatory contexts and that highlights how we should not engage with medical AI. (shrink)

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)

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)

The high predictive accuracy of contemporary machine learning-based AI systems has led some scholars to argue that, in certain cases, we should grant them epistemic expertise and authority over humans. This approach suggests that humans would have the epistemic obligation of relying on the predictions of a highly accurate AI system. Contrary to this view, in this work we claim that it is not possible to endow AI systems with a genuine account of epistemic expertise. In fact, relying on accounts (...) of expertise and authority from virtue epistemology, we show that epistemic expertise requires a relation with understanding that AI systems do not satisfy and intellectual abilities that these systems do not manifest. Further, following the Distribution Cognition theory and adapting an account by Croce on the virtues of collective epistemic agents to the case of human-AI interactions we show that, if an AI system is successfully appropriated by a human agent, a _hybrid_ epistemic agent emerges, which can become both an epistemic expert and an authority. Consequently, we claim that the aforementioned hybrid agent is the appropriate object of a discourse around trust in AI and the epistemic obligations that stem from its epistemic superiority. (shrink)

In this paper, I address a fundamental challenge in the philosophy of trust: how to account for trustee discretion in scenarios that fall outside explicitly defined expectations. I argue that this challenge reveals vagueness as an inherent feature of trusting relationships, often leading to disagreements between trustors and trustees. To resolve this, I propose a novel account of trust grounded in rule-following, shifting the object of trust from particular actions to adherence to rules constitutive of relationships. By focusing on relationships (...) and their constitutive rules, I provide here a framework for understanding and minimizing disagreements through communication and engaged practice. Furthermore, I argue this framework sheds light on the dynamics of trust-related reactive attitudes, in particular, distinguishing between betrayal and mere disappointment. (shrink)

In this paper we consider the importance of trust, in the context of economic institutions, and specifically with respect to questions about market mechanisms and the role of social interactions. We review recent advances in institutional economics closely tied to developments in philosophy of mind and cognitive science, involving extended and enactive cognition. We argue that the analysis of different conceptions of institutional mind extension, in Denzau and North’s shared mental models, Clark’s extended mind, and a more enactive approach that (...) emphasizes the importance of social interaction and personal relationships, can benefit from Kathrine Hawley’s distinction between reliability and trust. Institutional arrangements based solely on the reliability of impersonal mechanisms can lead to a variety of social pathologies and, at the extreme, a form of cognitive atrophy, all of which can undermine the sustainability of institutions. Even if trust comes with risks and some degree of unpredictability, it turns out to be a necessary glue-like ingredient in the constitution of social institutions. (shrink)

This paper develops and defends a new account of therapeutic trust, its nature and its constitutive norms. Central to the view advanced is a distinction between two kinds of therapeutic trust – default therapeutic trust and overriding therapeutic trust – each which derives from a distinct kind of trusting competence. The new view is shown to have advantages over extant accounts of therapeutic trust, and its relation to standard (non-therapeutic) trust, as defended by Hieronymi, Frost-Arnold, and Jones.

In the social epistemology of scientific knowledge, it is largely accepted that relationships of trust, not just reliance, are necessary in contemporary collaborative science characterised by relationships of opaque epistemic dependence. Such relationships of trust are taken to be possible only between agents who can be held accountable for their actions. But today, knowledge production in many fields makes use of AI applications that are epistemically opaque in an essential manner. This creates a problem for the social epistemology of scientific (...) knowledge, as scientists are now epistemically dependent on AI applications that are not agents, and therefore not appropriate candidates for trust. (shrink)

A dominant claim in the philosophical literature on trust is that we should stop thinking in terms of group trustworthiness or appropriate trust in groups. In this paper, we push back against this claim by arguing that philosophical work on trust would benefit from being brought into closer contact with empirical work on the nature of trust. We consider data on reactive attitudes and moral responsibility to adjudicate on different positions in the philosophical literature on trust. An implication of our (...) argument is that the distinction between different kinds of groups—mere groups versus institutional groups—deserves more attention than is currently recognized in the philosophical literature on trust.In the first section of the paper, we draw some basic philosophical distinctions concerning the nature and kinds of trust. In section two, we present the positions taken by Hawley (2017), who argues against trust in groups, and Faulkner (2018), who argues in favor of trust in groups. In section three, we introduce some empirical data and suggest that, albeit tentatively, this looks to undermine Hawley's position and is compatible with Faulkner's approach. We thus suggest, on the basis of the evidence that we have available, that we have reasons to prefer the position taken by Faulkner (2018) over that taken by Hawley (2017). We end by discussing some implications for distinctions between different kinds of groups relevant for future philosophical work on trust. (shrink)

There have two recent challenges to the orthodoxy that ‘X trusts Y to ø’ is the fundamental notion of trust. Domenicucci and Holton maintain that trust, like love and friendship, is fundamentally two-place. Paul Faulkner argues to the more radical conclusion that the one-place ‘X is trusting’ is explanatorily basic. I argue that ‘X trusts Y in domain D’ is the explanatorily basic notion. I make the case that only by thinking of trust as domain-specific can we make sense of (...) the relationships between trust and belief in goodwill, trust and distrust, and trust and trustworthiness. In addition, by modeling trust as essentially domain-specific we can account for the way in which wise trust in others is finely discriminating. (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)

This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative artificial intelligence (AI) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise them. (...) For most users, current LLMs are black boxes, i.e., for the most part, they lack data transparency and algorithmic transparency. They can, however, be phenomenologically and informationally transparent, in which case there is an interactional flow. Anthropomorphising and interactional flow can, in some users, create an attitude of (unwarranted) trust towards the output LLMs generate. We conclude this paper by drawing on the epistemology of trust and testimony to examine the epistemic implications of these dimensions. Whilst LLMs generally generate accurate responses, we observe two epistemic pitfalls. Ideally, users should be able to match the level of trust that they place in LLMs to the degree that LLMs are trustworthy. However, both their data and algorithmic opacity and their phenomenological and informational transparency can make it difficult for users to calibrate their trust correctly. The effects of these limitations are twofold: users may adopt unwarranted attitudes of trust towards the outputs of LLMs (which is particularly problematic when LLMs hallucinate), and the trustworthiness of LLMs may be undermined. (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)

Cognitivism about trust says that it requires belief that the trusted is trustworthy; non-cognitivism denies this. At stake is how to make sense of the strong but competing intuitions that trust is an attitude that is evaluable both morally and rationally. In proposing that one's respect for another's agency may ground one's trusting beliefs, second-personal accounts provide a way to endorse both intuitions. They focus attention on the way that, in normal situations, it is the person whom I trust. My (...) task is to develop an account of the latter insight without the controversial theoretical commitments of the former. I propose a functional account for why the second and third-personal ‘systems’ operate not just in parallel, but in tandem, in support of a cognitivist account of trust. (shrink)

From the perspective of philosophy and political science it is often pointed out that trust is of central value for democracy. The paper critically examines this claim and argues that we should not overestimate the role of trust in democracy. In order to do that, I argue for a specific understanding of the notion of trust that appropriately accounts for the distinction between trust and mere reliance. In a second step, I argue that we have no reason to put this (...) kind of trust in our elected officials and representatives, but should instead focus on legislative and institutional ways to make sure that they are reliable in particular respects. After contrasting my suggestion with the position of Hardin, I point to two advantages of my account: The avoidance of political analysis through the lens of trust allows us to react more flexibly to unforeseen circumstances and resist populist attempts to emotionalize public debates; at the same time, diffusing the tension between trust and civic vigil... (shrink)