The epistemic relevance of forgiveness has been neglected by both the discussion of forgiveness in moral psychology and by social epistemology generally. Moral psychology fails to account for the forgiveness of epistemic wrongs and for the way that wrongs in general have epistemic implications. Social epistemology, for its part, neglects the way that epistemic trust is not only conferred but repaired. In this essay, I show that the repair of epistemic trust through forgiveness is necessary to the economy of knowledge (...) for fallible persons like us. Despite the fact that forgiveness is never included on lists of important intellectual virtues or epistemic activities, it is vital to our lives as social knowers. Likewise, an account of forgiveness that neglects its epistemic dimension is importantly incomplete. (shrink)

Much has been written about the need for trustworthy artificial intelligence (AI), but the underlying meaning of trust and trustworthiness can vary or be used in confusing ways. It is not always clear whether individuals are speaking of a technology’s trustworthiness, a developer’s trustworthiness, or simply of gaining the trust of users by any means. In sociotechnical circles, trustworthiness is often used as a proxy for ‘the good’, illustrating the moral heights to which technologies and developers ought to aspire, at (...) times with a multitude of diverse requirements; or at other times, no specification at all. In philosophical circles, there is doubt that the concept of trust should be applied at all to technologies rather than their human creators. Nevertheless, people continue to intuitively reason about trust in technologies in their everyday language. This qualitative study employed an empirical ethics methodology to address how developers and users define and construct requirements for trust throughout development and use, through a series of interviews. We found that different accounts of trust (rational, affective, credentialist, norms based, relational) served as the basis for individual granting of trust in technologies and operators. Ultimately, the most significant requirement for user trust and assessment of trustworthiness was the accountability of AI developers for the outputs of AI systems, hinging on the identification of accountable moral agents and perceived value alignment between the user and developer’s interests. (shrink)

Justified trust is rationally permitted trust; wise trust is excellent trust. Excellent (dis)trust is always justified (dis)trust, but the reverse is not true. You can be justified in distrusting someone and yet it be wise for you to trust. Contrary to folk saying, wisdom does not favour distrust ahead of trust. This paper explores what it takes to be wise in entering, maintaining, modifying and exiting trust relations. Wisdom is socially scaffolded, including by distributed networks of distrust that make local (...) trust wise. (shrink)

A philosopher examines the complicated phenomenon of gaslighting “Gaslighting” is suddenly in everyone’s vocabulary. It’s written about, talked about, tweeted about, even sung about (in “Gaslighting” by The Chicks). It’s become shorthand for being manipulated by someone who insists that up is down, hot is cold, dark is light—someone who isn’t just lying about such things, but trying to drive you crazy. The term has its origins in a 1944 film in which a husband does exactly that to his wife, (...) his crazy-making efforts symbolized by the rise and fall of the gaslights in their home. In this timely and provocative book, Kate Abramson examines gaslighting from a philosophical perspective, investigating it as a distinctive moral phenomenon. Gaslighting, Abramson writes, is best understood as a form of interpersonal interaction, a particular way of fundamentally undermining someone. The gaslighter, Abramson argues, aims to make his target experience herself as incapable of reasoning, perceiving, or reacting in ways that would allow her to form appropriate beliefs, perceptions, or emotions in the first place. He seeks not only to induce in her this unmoored sense of herself but also to make it a reality. Using examples and analysis, Abramson gives an account of gaslighting and its immorality, and argues that such a discussion can help us understand other aspects of social life—from racism and sexism to the structure of interpersonal trust. (shrink)

Abstract: There are epistemic manipulators in the world. These people are actively attempting to sacrifice epistemic goods for personal gain. In doing so, manipulators have led many competent epistemic agents into believing contrarian theories that go against well-established knowledge. In this paper, I explore one mechanism by which manipulators get epistemic agents to believe contrarian theories. I do so by looking at a prominent empirical model of trustworthiness. This model identifies three major factors that epistemic agents look for when trying (...) to determine who is trustworthy. These are (i) ability, (ii) benevolence, and (iii) moral integrity. I then show how manipulators can manufacture the illusion that they possess these factors. This leads epistemic agents to view manipulators as trustworthy sources of information. Additionally, I argue that fact-checking will be an ineffective – or even harmful – practice when correcting the beliefs of epistemic agents who have been tricked by this illusion of epistemic trustworthiness. I suggest that in such cases we should use an alternative correction, which I call trust undercutting. (shrink)

The ability to interact in a natural language profoundly changes devices’ interfaces and potential applications of speaking technologies. Concurrently, this phenomenon challenges our mainstream theories of knowledge, such as how to analyze linguistic outputs of devices under existing anthropocentric theoretical assumptions. In section 1, I present the topic of machines that speak, connecting between Descartes and Generative AI. In section 2, I argue that accepted testimonial theories of knowledge and justification commonly reject the possibility that a speaking technological artifact can (...) give testimony. In section 3, I identify three assumptions underlying the view that rejects conversational AIs – AI-based technologies that converse, as testifiers: conversational AIs (1) lack intentions, (2) cannot be normatively assessed, and (3) cannot constitute an object in trust relations, while humans can. In section 4, I propose the concept ‘AI-testimony’ for analyzing outputs of conversational AIs, suggesting three conditions for technologies to deliver AI-testimony: (1) content is propositional, (2) generated and delivered with no other human directly involved, (3) the output is perceived as phenomenologically similar to that of a human. I conclude that this concept overcomes the limitations of the anthropocentric concept of testimony, opening future directions of research without associating conversational AIs with human-like agency. (shrink)

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)

This research explores how a person with whom information has been shared and, importantly, an artificial intelligence (AI) system used to deduce information from the shared data contribute to making the disclosure context private. The study posits that private contexts are constituted by the interactions of individuals in the social context of intersubjectivity based on trust. Hence, to make the context private, the person who is the trustee (i.e., with whom information has been shared) must fulfil trust norms. According to (...) the commitment account of trustworthiness, a person is trustworthy only if they satisfy the norm of competence. It is argued that a person using an AI system to answer a question is competent only if they are ex post justified in believing what has been delivered by the AI system. A person’s belief is justified in the doxastic sense only if the AI system is accurate. This feature of AI’s performance affects a person’s competence and, as a result, trustworthiness. The effect of AI on trust as an essential component of making the context private, and thus on privacy, means an AI system also impacts privacy. Therefore, a private context is constituted when the individual with whom the information is shared fulfils the competence norm and the AI system used for analysing the information is sufficiently accurate to adhere to this norm. The result of this research emphasises the significance of the relationship between individuals involved in information-sharing and how an AI system used for analysing that information impacts the relationship regarding making the context private, as well as how it impacts privacy. The findings of this research have significant implications for improving or ameliorating privacy regulations in light of trust. (shrink)

This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative (...) ethical consequences of the phenomenon in this field. (shrink)

Public discourse implicitly appeals to what we call the “Traumatic Untrustworthiness Argument” (TUA). To motivate, articulate, and assess the TUA, we appeal to Hawley’s (2019) commitment account of trust and trustworthiness. On Hawley’s account, being trustworthy consists in the successful avoidance of unfulfilled commitments and involves three components: the actual avoidance of unfulfilled commitments, sincerity in one’s taking on elective commitments, and competence in fulfilling commitments one has incurred. In contexts of testimony, what’s at issue is the speaker’s competence and (...) sincere intention to speak truthfully. The TUA targets trauma victims’ competence rather than their sincerity. According to the TUA, empirical evidence shows that trauma undermines victims’ trustworthiness with regard to speaking truthfully about their trauma by undermining their competence to remember the relevant event. We argue that what the evidence shows is rather that remembering traumatic events involves a distinct “mode of manifesting” the competence to remember particular events from the personal past. Trauma victims are competent to speak truthfully about their trauma and ought to be trusted at least with regard to the central details of the event. By suggesting otherwise, the TUA threatens an insidious form of epistemic injustice which Hawley’s account helps us locate. (shrink)

Philosophical literature has focused on the concept of trust, but often considers distrust merely as an afterthought. Distrust however, because of its pervasive role in our everyday lives, can be quite damaging. Thus, understanding the rationality of distrust is crucial for understanding our testimonial practices. In this paper I analyze whether it is rational or irrational to distrust an informant on the basis of identity bias. My aim is to show that distrust is irrational when based on negative identity bias. (...) First, I adopt Annalisa Coliva’s account of social hinge epistemology where it is rationally required to assume certain basic presuppositions, such that people are generally reliable informants, to obtain propositional justification and participate in the testimonial practice. Secondly, I show how distrust based on negative identity bias can spread across other domains of interaction and jeopardize the testimonial practice as we fail to assume that people are generally reliable informants. Thirdly, I argue that considering bias as a defeater is beneficial to maintain the claim that bias-based distrust is irrational, as it prevents the acquisition of propositional justification. Finally, I show that distrust is rational when based on evidence and reason that the speaker is not reliable or sincere. (shrink)

Digital Democratic Innovations (DDIs) have largely been conceived of, by the academic community, as a possible solution to the crisis of representative democracy. DDIs can be defined as initiatives or institutions designed with the goal of deepening citizens’ participation and influence on political decisions through the use of digital tools and platforms. There is a hope that DDIs (as well as usual, non-digital DIs) could help nurture political trust in governing institutions. Yet the vast majority of research on trust and (...) DDIs/DIs focuses only on one side of political trust – the trust of citizens vis-à-vis government. What has largely been ignored, however, is the trust of decision-makers towards citizen participation and its outcomes. We contend that political trust should be seen as a two-sided relationship that implies reciprocity. Therefore, we claim that it is necessary to design DDIs in such a way that they generate political trust from both common citizens and decision-makers. Citizens must trust institutions and processes implemented by the ones in power, and decision-makers must trust the input of citizens’ participatory processes. We argue that transparency is crucial when it comes to fostering reciprocal trust, and we identify the necessary elements to achieve it via DDIs. (shrink)

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)

We discuss the relationship between expertise, expert authority, and trust in the case of vaccine research and policy, with a particular focus on COVID-19 vaccines. We argue that expert authority is not merely an epistemic notion, but entails being trusted by the relevant public and is valuable if it is accompanied by expert trustworthiness. Trustworthiness requires, among other things, being transparent, acknowledging uncertainty and expert disagreement (e.g., around vaccines’ effectiveness and safety), being willing to revise views in response to new (...) evidence, and being clear about the values that underpin expert recommendations. We explore how failure to acknowledge expert disagreement and uncertainty can undermine trust in vaccination and public health experts, using expert recommendations around COVID-19 vaccines as a case study. (shrink)

Simion and Kelp develop the obligation-based account of trustworthiness as a compelling general account of trustworthiness and then apply this account to various instances of AI. By doing so, they explain in what way any AI can be considered trustworthy, as per the general account. Simion and Kelp identify that any account of trustworthiness that relies on assumptions of agency that are too anthropocentric, such as that being trustworthy, must involve goodwill. I argue that goodwill is a necessary condition for (...) being trustworthy and further suggest a network account of trustworthy AI, which retains the goodwill as the essential requirement for the concept of trustworthiness and meanwhile predicts that current AI can be trustworthy. The alternative account suggests that the focus of trustworthy AI is not merely AI technology, but the whole network of AI involving AI technology, AI designers, AI companies, and other social and legal institutions. A trustworthy AI requires that AI technology is reliable and that other involved agents are trustworthy. (shrink)

Recognition is one of the most ambivalent concepts in political and social thought. While it is a condition for individual freedom, the subject’s demand for recognition can be exploited as an instrument for reproducing domination. Axel Honneth addresses this issue and offers the concept of ideological recognition: Recognition is ideological when the addressees accept it from their subjective point of view but is unjustified from an objective point of view. Using the examples of the recognition of femininity, I argue that (...) Honneth’s account fails not only to offer the objective normative standard that delineates between morally justified and unjustified recognition, but also to descriptively explain why the addressees of ideological recognition accept their identities as having positive qualities. To overcome these problems, I provide an alternative, epistemic structural account. First, my account offers the concept of epistemic trust and identifies the objective injustice that Honneth’s account cannot capture. Second, my account offers the concept of structural power and discusses the problem of internalization of problematic identities. Furthermore, I argue that epistemic structural account has theoretical and practical benefits for analyzing domination and advancing the task of critique by explaining the ideological recognition in the case of racial identity, for example. (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)

I argue that faith is a type of trust. It is also part of a relationship in which both parties are called on to be faithful, where faithfulness is a type of trustworthiness. What distinguishes faith relationships from trust relationships is that both parties value the faith relationship intrinsically. I discuss how faith on this account can, and cannot, be rational when it goes beyond a person’s evidence. It turns out that faith has the same rationality conditions as trust, differing (...) from it only in the cases that fix our intuitions. (shrink)

Where does entitlement to trust come from? When we trust someone to φ, do we need to have reason to trust them to φ or do we start out entitled to trust them to φ by default? Reductivists think that entitlement to trust always “reduces to” or is explained by the reasons that agents have to trust others. In contrast, anti-reductivists think that, in a broad range of circumstances, we just have entitlement to trust. even if we don’t have positive (...) reasons to do so. In this paper, we argue for a version of anti-reductivism. Roughly, we argue that we have default entitlement to trust someone to φ so long as there is an operative norm that requires S to φ. At least in such circumstances (and absent defeaters), we don’t need any positive reasons to trust S to φ. (shrink)

Trust and monitoring are traditionally antithetical concepts. Describing trust as a property of a relationship of reliance, we introduce a theory of trust and monitoring, which uses mathematical models based on two classes of functions, including _q_-exponentials, and relates the levels of trust to the costs of monitoring. As opposed to several accounts of trust that attempt to identify the special ingredient of reliance and trust relationships, our theory characterizes trust as a quantitative property of certain relations of reliance that (...) can be quantified and expressed as a scalar quantity. Our theory is applicable to both human–human and human–artificial agent interactions, as it is agnostic with respect to the concrete realization of trustworthiness properties, and is compatible with many views differing on which properties contribute to trust and trustworthiness. Finally, as our mathematical models make the quantitative features of trust measurable, they provide empirical studies on trust with a rigorous methodology for its measurement. (shrink)

Definition of the problem This article critically addresses the conceptualization of trust in the ethical discussion on artificial intelligence (AI) in the specific context of social robots in care. First, we attempt to define in which respect we can speak of ‘social’ robots and how their ‘social affordances’ affect the human propensity to trust in human–robot interaction. Against this background, we examine the use of the concept of ‘trust’ and ‘trustworthiness’ with respect to the guidelines and recommendations of the High-Level (...) Expert Group on AI of the European Union. Arguments Trust is analyzed as a multidimensional concept and phenomenon that must be primarily understood as departing from trusting as a human functioning and capability. To trust is an essential part of the human basic capability to form relations with others. We further want to discuss the concept of _responsivity _which has been established in phenomenological research as a foundational structure of the relation between the self and the other. We argue that trust and trusting as a capability is fundamentally _responsive_ and needs responsive others to be realized. An understanding of _responsivity_ is thus crucial to conceptualize trusting in the ethical framework of human flourishing. We apply a phenomenological–anthropological analysis to explore the link between certain qualities of social robots that construct responsiveness and thereby simulate responsivity and the human propensity to trust. Conclusion Against this background, we want to critically ask whether the concept of trustworthiness in social human–robot interaction could be misguided because of the limited ethical demands that the constructed responsiveness of social robots is able to answer to. (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)

It is frequently demanded that AI-based Decision Support Tools (AI-DSTs) ought to be both explainable to, and trusted by, those who use them. The joint pursuit of these two principles is ordinarily believed to be uncontroversial. In fact, a common view is that AI systems should be made explainable so that they can be trusted, and in turn, accepted by decision-makers. However, the moral scope of these two principles extends far beyond this particular instrumental connection. This paper argues that if (...) we were to account for the rich and diverse moral reasons that ground the call for explainable AI, and fully consider what it means to “trust” AI in a descriptively rich sense of the term, we would uncover a deep and persistent tension between the two principles. For explainable AI to usefully serve the pursuit of normatively desirable goals, decision-makers must carefully monitor and critically reflect on the content of an AI-DST’s explanation. This entails a deliberative attitude. Conversely, calls for trust in AI-DSTs imply the disposition to put questions about their reliability out of mind. This entails an unquestioning attitude. As such, the joint pursuit of explainable and trusted AI calls on decision-makers to simultaneously adopt incompatible attitudes towards their AI-DST, which leads to an intractable implementation gap. We analyze this gap and explore its broader implications: suggesting that we may need alternate theoretical conceptualizations of what explainability and trust entail, and/or alternate decision-making arrangements that separate the requirements for trust and deliberation to different parties. (shrink)

There are different ways to study feminism. One of the ways is to study it by analyzing the waves of feminism. Though there are differences of opinion on how many waves of feminism have been so far, we would like to hold on to the generally accepted view that there are four waves of feminism so far and we try to research into one of the hallmarks of the fourth wave feminism, feminist hashtag. Though some people consider hashtags momentary and (...) frenzy, it’s a platform for feminist epistemology and feminist policy making. Moreover, it assists the development of social epistemology and reconsiders the notion of objectivity. The representative slogans of the first three waves of feminism were like the precursors of hashtags and the spokeswomen of the first three waves of feminism present the necessity of space for writing. The fourth-wave feminists make use of cyberspace as a space for addressing feminist concerns through hashtags. However, we recognize certain similarities of concerns in all the waves of feminism. The analysis of two epistemological theses, i.e., situated knowledge thesis and epistemic advantage thesis on developing the theme of how hashtags assist in knowledge production. The idea of situated knowledge explains how experiences specific to oppressed members of groups can serve as the basis of the development of important insights. Hashtags could be considered as a new way of understanding the links between gender and knowledge. Feminist slogans and hashtags are also media of testimonial exchange. When the issues of differential credulity and credibility arise the tenet of situated knowing comes to the aid of the feminist thinker. Building up the climate of trust generates knowledge of the forces and dynamics of the oppressed. Trust helps to overcome identity prejudice and testimonial injustice. Feminist policies make women visible in feminist public policies. Responsible interventions into epistemic practices by public policy-making can help move society in the direction of social justice. Hashtag testimony leads to consciousness-raising and protest movements which in turn leads to the public reasoning and policy that empowers women. The reflections of Miranda Fricker are of great advantage in disclosing feminist epistemology that revolves around feminist hashtags. Her doctrines enrich the feminist hashtags with new insights and new directions. A study on the epistemological relevance of hashtag feminism enhances the development of social epistemology. It invites our attention to re-reflect on the concept of objectivity and empowers feminist movements and women. (shrink)

Katherine Hawley was skeptical about group trust. Her main reason for this skepticism was that the distinction between trust and reliance, central to many theories of interpersonal trust, does not apply to trust in groups. Hawley’s skeptical arguments successfully shift the burden of proof to those who wish to continue with a concept of group trust. Nonetheless, I argue that a commitments account of the trust/reliance distinction can shoulder that burden. According to that commitments account, trust is a distinctive kind (...) of reliance grounded in a positive appraisal of features of the trustee’s practical rationality, foremost their commitments and their capacity to act on those commitments. This is one way we can make sense of the difference between trusting and relying on individual people. I argue it is also a way we can make sense of the difference between trusting and relying on groups. (shrink)

Trust is a crucial condition for the legitimacy and effectiveness of democratic institutions in conditions of deep diversity and enduring injustices. Liberal democratic societies require forms of engagement and deliberation that require trustful relations between citizens: trust is a necessary condition for securing and sustaining just institutions and practices. Establishing trust is hard when there is a lingering suspicion that the institutions citizens are subject to are illegitimate or undermine their ability to participate and deliberate on equal terms. The promise (...) of participation, the appeal to deliberation and inclusion, in other words, is experienced as a form of bad faith. In this paper, I offer four conditions required for democratic trust and discuss them in relation to a series of examples of both democratic mistrust and attempts at rebuilding trust. (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.

In this paper, I draw a distinction between two types of deepfake, and unpack the deceptive strategies that are made possible by the second. The first category, which has been the focus of existing literature on the topic, consists of those deepfakes that act as a fabricated record of events, talk, and action, where any utterances included in the footage are not addressed to the audience of the deepfake. For instance, a fake video of two politicians conversing with one another. (...) The second category consists of those deepfakes that direct an illocutionary speech act - such as a request, injunction, invitation, or promise - to an addressee who is located outside of the recording. For instance, fake footage of a company director instructing their employee to make a payment, or of a military official urging the populace to flee for safety. Whereas the former category may deceive an audience by giving rise to false beliefs, the latter can more directly manipulate an agent's actions: the speech act's addressee may be moved to accept an invitation or a summons, follow a command, or heed a warning, and in doing so further a deceiver's unethical ends. (shrink)

In this paper, I first consider three possible explanations for why celebrities typically apologise publicly and sometimes also include their fans among the targets of their apology. I then identify three moral dangers of celebrity apologies, the third of which arises specifically for fan-targeted apologies, and each of which teaches us important lessons about the practice of celebrity apologies. From these individual lessons, I draw more general lessons about apologies from those with elevated social positions and the powers they are (...) associated with. (shrink)

Within the growing developmental literature on children's testimonial learning, the emphasis placed on children's evaluations of testimonial evidence has shielded from view some of the more collaborative dimensions of testimonial learning. Drawing on recent philosophical work on testimony and interpersonal trust, we argue for an alternative way of conceptualizing the social nature of testimonial learning. On this alternative, some testimonial learning is the result of a jointly collaborative epistemic activity, an activity that aims at the epistemic goal of true belief, (...) but that does so by means of an irreducibly social process. (shrink)

Recent years have seen a shift in epistemological studies of intellectual self-trust or epistemic self-trust: intellectual self-trust is not merely epistemologists’ tool for silencing epistemic skepticism or doubt, it is recognized as a disposition of individuals and collectives interesting in its own rights. In this exploratory article I focus on a particular type of intellectual self-trust—collective intellectual self-trust—and I examine which features make for valuable or pernicious collective intellectual self-trust. From accounts of the value of individual intellectual self-trust I take (...) three frameworks for evaluating collective intellectual self-trust: an epistemically consequentialist, a virtue-theoretic and a prudential/pragmatic framework (§2). Then I introduce collective intellectual self-trust (§3). Against this background I explain what is distinctive of valuable collective intellectual self-trust (§4) and pernicious collective intellectual self-trust (§5) within the three frameworks. I close by discussing the relation between the three frameworks and argue that evaluating intellectual self-trust requires a multi-perspectival approach constituted by the three frameworks. (shrink)

This paper argues that the widespread belief that interactions between blockchains and their users are trust-free is inaccurate and misleading, since this belief not only overlooks the vital role played by trust in the lack of knowledge and control but also conceals the moral and normative relevance of relying on blockchain applications. The paper reaches this argument by providing a close philosophical examination of the concept referred to as trust in blockchain technology, clarifying the trustor group, the structure, and the (...) normatively loaded nature of this trust relation. The paper ends by critically reflecting on two of the most promising values (decentralization and transparency) that can invite users’ trust in blockchain technology, arguing that there is a tension between the pressing values that are intended to be achieved by developers and the predicament situations caused by current blockchain implementations. (shrink)

Despite an immense amount of literature on the topic of trust, there is still no account that offers a plausible epistemological framework for the phenomenon of reasonable trust. The main claim of this article is that reasonable trust and distrust are phenomena based upon practical knowledge, while non-reasonable trust and distrust result from dislocation of trust into different epistemic regimes. This dislocation can be observed in some of the influential theories such as cognitive and emotional accounts of trust and in (...) the accounts understanding trust as a form of faith. Added to that, theoretical approaches introducing a strong idea of basic trust preclude observing the difference between reasonable and non-reasonable trust. In this article, I argue that reasonable trust is founded upon practical knowledge which includes knowledge of integrity of the trusted person and knowledge about a similarity of worldviews of the trust giver and the trust receiver. Furthermore, I elaborate on the ways reasonable trust and distrust are being transformed and disfigured in other epistemic regimes. Drawing mainly upon Aristotelian understanding of practical knowledge, I want to show how non-reasonable trust and distrust are manifested in the phenomena of blind trust, unconditional trust and absolute doubt and explain why non-reasonable trust and distrust can hardly be distinguished from loyalty, subordination, infatuation or calculation. (shrink)

Following the publication of numerous ethical principles and guidelines, the concept of 'Trustworthy AI' has become widely used. However, several AI ethicists argue against using this concept, often backing their arguments with decades of conceptual analyses made by scholars who studied the concept of trust. In this paper, I describe the historical-philosophical roots of their objection and the premise that trust entails a human quality that technologies lack. Then, I review existing criticisms about 'Trustworthy AI' and the consequence of ignoring (...) these criticisms: if the concept of 'Trustworthy AI' is kept being used, we risk attributing responsibilities to agents who cannot be held responsible, and consequently, deteriorate social structures which regard accountability and liability. Nevertheless, despite suggestions to shift the paradigm from 'Trustworthy AI' to 'Reliable AI', I argue that, realistically, this concept will be kept being used. I end by arguing that, ultimately, AI ethics is also about power, social justice, and scholarly activism. Therefore, I propose that community-driven and social justice-oriented ethicists of AI and trust scholars further focus on (a) democratic aspects of trust formation; and (b) draw attention to critical social aspects highlighted by phenomena of distrust. This way, it will be possible to further reveal shifts in power relations, challenge unfair status quos, and suggest meaningful ways to keep the interests of citizens. (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)

We frequently trust others—even strangers—based on little more than the good word of a third party. The purpose of this paper is to explain how such trust is possible by way of certain speech acts. I argue that the speech act of vouching is the primary mechanism at work in many of these cases and provide an account of vouching in comparison to the speech act of guaranteeing. On this account, guaranteeing and vouching both commit the speaker to certain actions (...) conditional on undesirable events. However, while guaranteeing may generate reliance in someone or something by providing insurance against bad outcomes, vouching may generate trust in another agent by way of the vouching party manifesting their own trust in the party vouched for and enjoining the addressee to trust likewise. (shrink)

A significant amount of scientific evidence shows that childhood vaccination constitutes one of the most successful and cost-effective public health interventions of the last century. It has saved millions of lives. Nonetheless, many parents are reluctant or outright hostile to having their children vaccinated. Similarly, in spite of the fact that vaccines against SARS-CoV-2, the virus that causes COVID-19, are highly effective in protecting people against death and serious illness, about a third of adults in the United States are still (...) unvaccinated as of July 2022. What leads people to be skeptical of vaccines or to refuse them altogether?The dominant narrative answering this... (shrink)

With an increasing use of artificial intelligence (AI) systems, theorists have analyzed and argued for the promotion of trust in AI and trustworthy AI. Critics have objected that AI does not have the characteristics to be an appropriate subject for trust. However, this argumentation is open to counterarguments. Firstly, rejecting trust in AI denies the trust attitudes that some people experience. Secondly, we can trust other non‐human entities, such as animals and institutions, so why can we not trust AI systems? (...) Finally, human–AI trust is criticized based on a conception of human–human trust, which does not recognize the distinctiveness of the human–AI relationship. This article aims to refute these counterarguments based on the genealogical analyses of ‘trust’ and ‘trustworthiness’ of Karen Jones and Thomas Simpson, who show that trust and trustworthiness help to overcome vulnerabilities. This function of trust gives reason to use human–human trust as a standard. For this function, it is important that trustees are responsive to trust. While animals and institutions could be responsive, narrow AI systems are unable to be responsive to trust. Therefore, we should not apply trust to AI and instead direct our trust to those who can be responsive to and held responsible for our trust. (shrink)

The National Health Service (NHS) was the first healthcare system globally to declare ambitions to become net carbon zero. To achieve this, a shift away from metered-dose inhalers which contain powerful greenhouse gases is necessary. Many patients can use dry powder inhalers which do not contain greenhouse gases and are equally effective at managing respiratory disease. This paper discusses the ethical issues that arise as the NHS attempts to mitigate climate change. Two ethical issues that pose a barrier to moving (...) away from metered-dose inhalers are considered: patients who decline an inhaler with a smaller carbon footprint and increased cost. I argue that while a patient is not morally justified in refusing a more environmentally sustainable inhaler due to the expected harms, a doctor may still prescribe a metered-dose inhaler if they believe that switching without consent might undermine trust or substantially worsen the patient’s health. Turning to cost, I argue that the imperative to combat climate change means the NHS should accept small increased financial costs for lower carbon inhalers, even though this provides no additional direct benefit for the patient. I then go on to consider the implications of the preceding analysis for policy and practice. I argue for a policy that minimises the impact of inhalers on the climate by advocating for a principle of environmental prescribing and explore decision-making in practice. While the arguments here pertain primarily to inhalers, the discussion has broader implications for debates around healthcare’s responsibility to be environmentally sustainable. (shrink)

Social epistemologists often operationalize the task of indirectly assessing experts’ trustworthiness to identifying whose beliefs are more reliably true on matters in an area of expertise. Not only does this neglect the philosophically rich space between belief formation and testimonial utterances, it also reduces trustworthiness to reliability. In ethics of trust, by contrast, explicitly relational views of trust include things like good will and responsiveness. One might think that relational aspects can be safely set aside for social epistemology of trust (...) in experts, that such considerations may be relevant for personal relationships but not for expert trustworthiness. Against these claims I argue for the social-epistemic relevance of relational aspects of trust in experts, and to that end I discuss three sorts of considerations – responsively positive, neutral, and negative factors – that can make a difference for expert trustworthiness. (shrink)

It is common for people to be sensitive to aesthetic qualities in one another’s speech. We allow the loveliness or unloveliness of a person’s voice to make impressions on us. What is more, it is also common to allow those aesthetic impressions to affect how we are inclined to feel about the speaker. We form attitudes of liking, trusting, disliking or distrusting partly in virtue of the aesthetic qualities of a person’s speech. In this paper I ask whether such attitudes (...) could ever be legitimate. This is a microcosm of the broader issue of whether people’s aesthetic qualities in general can justify the interpersonal valuing-attitudes that they so often cause. I draw from recent discussions of body aesthetics to articulate a pair of challenges. One challenge says that aesthetic judgements of speech are reliant on unjustifiable prejudices. The other holds that a person’s aesthetic qualities are irrelevant to whether they should be liked. Against these challenges I argue that some speech can bear aesthetic qualities which are not reliant on prejudice and which are relevant to whether the speaker should be liked. I develop this argument through an analysis of the concept of lyricism. (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)

It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the functional role (...) of trust changes across contexts and objects is further complicated when communities and individuals mediate it through technologies, and even more so when that mediation involves artificial intelligence (AI) and machine learning (ML). In this chapter I look at the ways in which trust in institutions, and specifically the medical profession, is affected by the use of AI and ML. There are two key elements of this analysis. The first is a disanalogy between institutional trust in medicine and institutional trust in science (Irzik and Kurtulmus 2021, 2019; Kitcher 2001). I note that as AI and ML become a more prominent part of medicine, trust in a medical institution becomes more like trust in a scientific institution. This is problematic for institutional trust in medicine and the practice of medicine, since institutional trust in science has been undermined by, among other things, the spread of misinformation online and the replication crisis (Romero 2019). There is also a strong analogy between the psychological state of the person who trusts a scientific report or testimony and the psychological state of a patient who trusts individual recommendations made by a medical professional in a clinical setting. In both cases, institutional trust makes it less likely that a mistake or malfeasance will result in reactive attitudes, such as blame or anger, directed at other individual members of that institution. However, it also renders people vulnerable enough to blame the institution itself. This, with time, can erode trust in the institution and naturally leads to policy recommendations that aim to preserve institutional trust. I survey two ways in which that can be done with institutional trust in medicine in the age of AI and ML. (shrink)

In this paper, I argue for a probabilistic theory of trust, and the plausibility of “trustworthy AI” in which we trust (as opposed to mere reliance). I show that the current trust theories cannot accommodate trust pertaining to AI, and I propose an alternative probabilistic theory, which accounts for the four major types of AI-related trust: an AI agent’s trust in another AI agent, a human agent’s trust in an AI agent, an AI agent’s trust in a human agent, and (...) an AI agent’s trust in an object (including mental and complex objects). I draw a broadly neglected distinction between transitive and intransitive senses of trust, each of which calls for a distinctive semantical theory. Based on this distinction, I classify the current theories into the theories of trust and theories of trustworthiness, showing that the current theories fail to model some of the major types of AI-related trust; while the proposed conditional probabilistic theory of trust and theory of trustworthiness, unlike the current trust theories, is scalable, and they would also accommodate major types of trust in non-AI, including interpersonal trust, reciprocal trust, one-sided trust, as well as trust in objects—e.g., thoughts, theories, data, algorithms, systems, and institutions. (shrink)

Moral enhancement proposals struggle to be both plausible and ethically defensible while nevertheless interestingly distinct from both cognitive enhancement as well as (mere) moral education. Brian Earp (_Royal Institute of Philosophy Supplement_ 83:415–439, 12 ) suggests that a promising middle ground lies in focusing on the (suitably qualified) use of psychedelics as _adjuncts_ to moral development. But what would such an adjunctive use of psychedelics look like in practice? In this paper, I draw on literature from three areas where techniques (...) for moral development have been discussed: psychotherapy (e.g., Overholser 2010; Burns 1980) education (e.g., Uhl and Lütge, 2018), and AI-assisted enhancement (e.g., Lara and Deckers, _Neuroethics_ 13(3):275–287, 17 ) in order to propose more concrete ways in which to use psychedelics as adjuncts to moral development. It is shown that in each of these areas, we can see that _trusting_ relationships (e.g., Baier 1986; Hawley 2019) between the facilitator and the agent will very plausibly maximize the success of this type of moral enhancement. Finally, I appeal to literature on informed consent for use of psychedelics (e.g., Smith and Sisti, _Journal of Medical Ethics_, 22 ; Johnson et al., _The Journal of Psychopharmacology_ 22(6):603–20, 23 ) and on the therapeutic relationship in psychotherapy (e.g., Dryden and Reeves 2013; Horvath et al. 2011) to outline concrete suggestions for facilitating dimensions of trust most likely to maximize the benefits of (adjunctive) psychedelic moral enhancement. The result is a newly detailed practical proposal for how we might best facilitate moral enhancement by using drugs as adjuncts to moral development. (shrink)

The COVID-19 pandemic and global climate change crisis remind us that widespread trust in the products of the scientific enterprise is vital to the health and safety of the global community. Insofar as appropriate responses to these crises require us to trust that enterprise, cultivating a healthier trust relationship between science and the public may be considered as a collective public good. While it might appear that scientists can contribute to this good by taking more initiative to communicate their work (...) to public audiences, we raise a concern about unintended consequences of an individualistic approach to such communication. (shrink)

In this paper, we argue that the neo-Aristotelian conception of “friendships of character” appears to misrepresent the essential nature of "genuine", or "true", friendship. We question the neo-Aristotelian imperative that true friendship entails disinterested love of the other “for their own sake” and strives at enhancing moral virtue. We propose an alternative conception of true friendship as involving affective and motivational features which we call closeness, intimacy, identity, and trust. Even on this minimal construal, however, friendship can turn vicious when (...) one of its characteristics becomes overpowering and thereby destroys the very goods for which the friendship was originally sought. (shrink)

Much of what we know we know through testimony, and knowing on the basis of testimony requires some degree of trust in speakers. Trust is therefore very valuable. But in trusting, we expose ourselves to risks of harm and betrayal. It is therefore important to trust well. In this paper, I discuss two recent cases of the betrayal of trust in (broadly) academic contexts: one involving hoax submissions to journals, the other faking an identity on social media. I consider whether (...) these betrayals suggest that we ought to be less trusting in contexts like these. I argue that we should not: the acquisition of knowledge is dependent on trust, and we cannot intentionally reduce the extent to which we trust in these kinds of contexts without risking destroying it utterly. Instead, we must trust in our epistemic networks and the way they work to filter out deception. (shrink)

This chapter asks two questions about the ethics of expectations: one about the nature of expectations, and one about the wrongs of expectations. On the first question, expectations involve a rich constellation of attitudes ranging from beliefs to also include imaginings, hopes, fears, and dreams. As a result, sometimes expectations act like predictions, like your expectation of rain tomorrow, sometimes prescriptions, like the expectation that your students will do the reading, sometimes like proleptic reasons like the hope that your mentee (...) will flourish, and sometimes expectations are peremptory in that they carry the force of moral law. Turning to the second question, given the multiple roles played by expectations it shouldn’t be surprising that there are also multiple ways expectations can be wrong to hold. Sometimes they wrong as beliefs do, e.g., doxastic wronging, and sometimes they result in alienation because of who holds that expectation of us. The upshot of this chapter is that getting clear on these potential ways expectations can wrong not only delivers an ethics of expectations that mirrors familiar discussions of the ethics of belief, but an ethics of expectations further opens the door for taking seriously an ethics of mental attitudes more generally. (shrink)