Trust

Trust in the scientific enterprise — in science as an institution — is arguably important to individuals’ and societies’ well-being. Although some measures of public trust in science exist, the recipients of that trust are often ambiguous between trusting individual scientists and the scientific community at large. We argue that more precision would be beneficial — specifically, targeting public trust of the scientific community at large — and describe the development and validation of such an instrument: the Scientific Community Trust (...) Index (SCTI). We show the results of initial field testing to establish instrument reliability and validity. We then demonstrate certain advantages of the SCTI against other measures of trust and deference, and present correlations between the SCTI and participant scores in two trust-in-science scenarios. Our results suggest that the SCTI is a useful and compact tool for measuring public trust in the scientific community. (shrink)

Corruption prevention can be more effective if it does not rely merely on legal enforcement. This theoretical review aimed to propose a hypothetical psychological model capable of explaining the behavior of corruption. Moral disengagement is a variable that is considered ontologically closest in “distance” to the variable of corruption behavior. Counterfeit self, implicit self-theory, ethical mindset and moral emotion are taken into account as the pivotal factors of the corruption behavior and its mechanism of moral disengagement. Counterfeit self along with (...) some moderating variables are regarded to “set” one’s future corrupt behavior based on his/her past/prior ethical or unethical behavior and moral emotions. This review discovered a conjectural-theoretical model of the corruption psychology. It can be used to design a social intervention and training for individuals to manage the mindset and emotion that can buffer counterfeit self effect. In addition, the users of these research findings are recommended to be aware of the surroundings that consist of groups of people with particular ethical mindset, moral emotion proneness and self-theory. (shrink)

The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective. AI-driven systems have significantly diffused into various fields of our lives, serving as beneficial tools used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially influencing human thought, decision-making, and agency. Trust/distrust in AI plays the role of a regulator and could significantly (...) control the level of this diffusion, as trust can increase, and distrust may reduce the rate of adoption of AI. Recently, varieties of studies have paid attention to the variant dimension of trust/distrust in AI, and its relevant considerations. In this systematic literature review, after conceptualization of trust in the current AI literature review, we will investigate trust in different types of human-Machine interaction, and its impact on technology acceptance in different domains. In addition to that, we propose a taxonomy of technical (i.e., safety, accuracy, robustness) and non-technical axiological (i.e., ethical, legal, and mixed) trustworthiness metrics, and some trustworthy measurements. Moreover, we examine some major trust-breakers in AI (e.g., autonomy and dignity threat), and trust makers; and propose some future directions and probable solutions for the transition to a trustworthy AI. (shrink)

Few recent developments in information technology have been as hyped as blockchain, the first implementation of which was the cryptocurrency Bitcoin. Such hype furnishes ample reason to be skeptical about the promise of blockchain implementations, but I contend that there’s something to the hype. In particular, I think that certain blockchain implementations, in the right material, social, and political conditions, constitute excellent bases for common knowledge. As a case study, I focus on trust in election outcomes, where the ledger records (...) not financial transactions but vote tallies. I argue that blockchain implementations could foster warranted trust in vote tallies and thereby trust in the democratic process. Finally, I argue that if the promise of blockchain implementations as democratic infrastructure is to be realized, then democracies first need to ensure that these material, social, and political conditions obtain. (shrink)

First, we explain the conception of trustworthiness that we employ. We model trustworthiness as a relation among a trustor, a trustee, and a field of trust defined and delimited by its scope. In addition, both potential trustors and potential trustees are modeled as being more or less reliable in signaling either their willingness to trust or their willingness to prove trustworthy in various fields in relation to various other agents. Second, following Alfano (forthcoming) we argue that the social scale of (...) a potential trust relationship partly determines both explanatory and normative aspects of the relation. Most of the philosophical literature focuses on dyadic trust between a pair of agents (Baier 1986, Jones 1996, Jones 2012, McGeer 2008, Pettit 1995), but there are also small communities of trust (Alfano forthcoming) and trust in large institutions (Potter 2002, Govier 1997, Townley & Garfield 2013, Hardin 2002). The mechanisms that induce people to extend their trust vary depending on the size of the community in question, and the ways in which trustworthiness can be established and trusting warranted vary with these mechanisms. Mechanisms that work in dyads and small communities are often unavailable in the context of trusting an institution or branch of government. Establishing trust on this larger social scale therefore requires new or modified mechanisms. In the third section of the paper, we recommend three policies that – we argue – tend to make institutions more trustworthy and to reliably signal that trustworthiness to the public. First, they should ensure that their decision-making processes are as open and transparent as possible. Second, they should make efforts to engage stakeholders in dialogue with decision-makers such as managers, members of the C-Suite, and highly-placed policy-makers. Third, they should foster diversity – gender, ethnicity, age, socioeconomic background, disability, etc. – in their workforce at all levels, but especially in management and positions of power. We conclude by discussing the warrant for distrust in institutions that do not adopt these policies, which we contend is especially pertinent for people who belong to groups that have historically faced (and in many cases still do face) oppression. (shrink)

First, we explain the conception of trustworthiness that we employ. We model trustworthiness as a relation among a trustor, a trustee, and a field of trust defined and delimited by its scope. In addition, both potential trustors and potential trustees are modeled as being more or less reliable in signaling either their willingness to trust or their willingness to prove trustworthy in various fields in relation to various other agents. Second, following Alfano (forthcoming) we argue that the social scale of (...) a potential trust relationship partly determines both explanatory and normative aspects of the relation. Most of the philosophical literature focuses on dyadic trust between a pair of agents (Baier 1986, Jones 1996, Jones 2012, McGeer 2008, Pettit 1995), but there are also small communities of trust (Alfano forthcoming) and trust in large institutions (Potter 2002, Govier 1997, Townley & Garfield 2013, Hardin 2002). The mechanisms that induce people to extend their trust vary depending on the size of the community in question, and the ways in which trustworthiness can be established and trusting warranted vary with these mechanisms. Mechanisms that work in dyads and small communities are often unavailable in the context of trusting an institution or branch of government. Establishing trust on this larger social scale therefore requires new or modified mechanisms. In the third section of the paper, we recommend three policies that – we argue – tend to make institutions more trustworthy and to reliably signal that trustworthiness to the public. First, they should ensure that their decision-making processes are as open and transparent as possible. Second, they should make efforts to engage stakeholders in dialogue with decision-makers such as managers, members of the C-Suite, and highly-placed policy-makers. Third, they should foster diversity – gender, ethnicity, age, socioeconomic background, disability, etc. – in their workforce at all levels, but especially in management and positions of power. We conclude by discussing the warrant for distrust in institutions that do not adopt these policies, which we contend is especially pertinent for people who belong to groups that have historically faced (and in many cases still do face) oppression. (shrink)

First, we explain the conception of trustworthiness that we employ. We model trustworthiness as a relation among a trustor, a trustee, and a field of trust defined and delimited by its scope. In addition, both potential trustors and potential trustees are modeled as being more or less reliable in signaling either their willingness to trust or their willingness to prove trustworthy in various fields in relation to various other agents. Second, following Alfano (forthcoming) we argue that the social scale of (...) a potential trust relationship partly determines both explanatory and normative aspects of the relation. Most of the philosophical literature focuses on dyadic trust between a pair of agents (Baier 1986, Jones 1996, Jones 2012, McGeer 2008, Pettit 1995), but there are also small communities of trust (Alfano forthcoming) and trust in large institutions (Potter 2002, Govier 1997, Townley & Garfield 2013, Hardin 2002). The mechanisms that induce people to extend their trust vary depending on the size of the community in question, and the ways in which trustworthiness can be established and trusting warranted vary with these mechanisms. Mechanisms that work in dyads and small communities are often unavailable in the context of trusting an institution or branch of government. Establishing trust on this larger social scale therefore requires new or modified mechanisms. In the third section of the paper, we recommend three policies that – we argue – tend to make institutions more trustworthy and to reliably signal that trustworthiness to the public. First, they should ensure that their decision-making processes are as open and transparent as possible. Second, they should make efforts to engage stakeholders in dialogue with decision-makers such as managers, members of the C-Suite, and highly-placed policy-makers. Third, they should foster diversity – gender, ethnicity, age, socioeconomic background, disability, etc. – in their workforce at all levels, but especially in management and positions of power. We conclude by discussing the warrant for distrust in institutions that do not adopt these policies, which we contend is especially pertinent for people who belong to groups that have historically faced (and in many cases still do face) oppression. (shrink)

While deliberation has traditionally played a central role in philosophical and behavioral accounts of ethical decision-making, several recent studies challenge the value of deliberation. These studies find that deliberative thinking, such as considering divergent views or different perspectives, leads to less ethical decisions. We observe, however, that these studies do not address normative deliberation, in which decision-makers consider or apply a normative standard. We predict that normative deliberation improves ethical decision-making. Across six experiments, we examine the effects of non-normative deliberation (...) and normative deliberation on ethical decision-making. We find that normative deliberation improves ethical decision-making and, in contrast to recent studies, no form of deliberation harms ethical decision-making. (shrink)

Faced with current urgent calls for more trust in experts, especially in high impact and politically sensitive domains, such as climate science and COVID-19, the complex and problematic nature of public trust in experts and the need for a more critical approach to the topic are easy to overlook. Scepticism – at least in its Humean mitigated form that encourages independent, questioning attitudes – can prove valuable to democratic governance, but stands in opposition to the cognitive dependency entailed by epistemic (...) trust. In this paper, we investigate the tension between the value of mitigated scepticism – understood as the exercise of reason-based doubt in a particular domain – and the need for trust in experts. We offer four arguments in favour of mitigated scepticism: the argument from loss of intellectual autonomy; the argument from democratic deficit; the argument from the normative failures of science; and the argument from past and current injustices. These arguments highlight the tension between the requirements for trust and justified scepticism about the role of experts. One solution, which we reject, is the idea that reliance, rather than trust, is sufficient for the purposes of accommodating experts in policy matters. The solution we endorse is to create a ‘climate of trust’, where questioning experts and expertise is welcomed, but the epistemic trust necessary for action upon information which the public cannot obtain first-hand is enabled and encouraged through structural, institutional, and justice-based measures. (shrink)

This paper proposes a formal account of AI trustworthiness, connecting both intrinsic and perceived trustworthiness in an operational schematization. We argue that trustworthiness extends beyond the inherent capabilities of an AI system to include significant influences from observers' perceptions, such as perceived transparency, agency locus, and human oversight. While the concept of perceived trustworthiness is discussed in the literature, few attempts have been made to connect it with the intrinsic trustworthiness of AI systems. Our analysis introduces a novel schematization to (...) quantify trustworthiness by assessing the discrepancies between expected and observed behaviors and how these affect perceived uncertainty and trust. The paper provides a formalization for measuring trustworthiness, taking into account both perceived and intrinsic characteristics. By detailing the factors that influence trust, this study aims to foster more ethical and widely accepted AI technologies, ensuring they meet both functional and ethical criteria. (shrink)

Background Trust is an essential phenomenon of relationship between patients and healthcare professionals and can be described as an accepted vulnerability to the power of another person over something that one cares about in virtue of goodwill toward the trustor. This characterization of interpersonal trust appears to be adequate for patients suffering from chronic illness. Trust is especially important in the context of chronic cardiovascular diseases as one of the main global health problems. Research Aim The purpose of the qualitative (...) study was to gain a deeper understanding of how people with chronic cardiovascular disease experience and make sense of trust in healthcare professionals. Research Design Eleven semi-structured interviews with participants analysed using interpretative phenomenological analysis to explore in detail their lived experience of trust as a relational phenomenon. Participants and Research Context Participants with chronic cardiovascular disease were purposively recruited from inpatients on the cardiology ward of the university hospital located in central Slovakia. Ethical Considerations The study was approved by the faculty ethics committee. Participants gave their written informed consent. Findings Four Interrelated Group Experiential Themes Sense of co-existence; Belief in competence; Will to help; Ontological security with eight subthemes were identified. The findings describe the participants' experience with trust in healthcare professionals as a phenomenon of close co-existence, which is rooted in the participants’ vulnerability and dependence on the goodwill and competence of health professionals to help with the consequence of (re)establishing a sense of ontological security in the situation of chronic illness. Conclusion Findings will contribute to an in-depth understanding of trust as an existential dimension of human co-existence and an ethical requirement of healthcare practice, inspire patient empowerment interventions, support adherence to treatment, and person-centred care. (shrink)

A great many important decisions we make in life depend on scientific information that we are not in a position to assess. So it seems we must defer to experts. By now there are a variety of criteria on offer by which non-experts can judge the trustworthiness of a scientist responsible for producing or promulgating this information. But science is, for the most part, a collective not an individual enterprise. This paper explores which of the criteria for judging the trustworthiness (...) of individual scientists can be amended for use in assessing the trustworthiness of scientific collectives. It also offers some new proposals specifically geared to assessing collective trustworthiness in science, notably, an analysis of where to apply the criteria (for example at the group or individual level) and additional criteria to assess group infrastructure and design. The paper ends with some practical suggestions for how to assist the non-expert in this task. (shrink)

Extending ethical leadership theory and research beyond the walls of the organization, we propose a spillover model wherein ethical leaders impact customer loyalty (i.e., repeat purchase amount) by first establishing trusting relations with employees, who in turn emulate their leaders’ ethical behavior. In Study 1, we examined how this initial trust (i.e., trust primacy) facilitates new employees’ moral imprinting in a controlled experiment. In Study 2, with a field design, we tested our model among new employees and their respective customers (...) over a 6-month timespan. Results indicate that perceptions of ethical leadership operate through trust primacy to affect customer repeat purchase, with accelerated growth over time. We conclude by considering theoretical and practical implications as they relate to ethical leadership and trust primacy, as well as marketing and salesforce management. (shrink)

Friendship with the ancients is a set of imaginative exercises and engagements with the work of deceased authors that allows us to imagine them as friends. Authors from diverse cultures and times such as Mengzi, Niccolò Machiavelli, W.E.B Du Bois, and Clare Carlisle have engaged in it. The aim of this paper is to defend this practice, showing that friendship with the ancients is a species of philosophical friendship, which confers the unique benefits such friendships offer. It is conducive to (...) epistemic virtue, notably the related virtues of epistemic humility and of relational understanding. When we cultivate friendship with the ancients, we are not learning facts about them, but aim at understanding their views in their full scope in a way that a relationship between friends allows. (shrink)

In this paper, we locate a general rhetorical strategy employed in theoretical discourse wherein philosophers argue from the mere existence of internalized oppression to some kind of epistemic, moral, political, or cognitive deficiency of oppressed people. We argue that this strategy has harmful consequences for oppressed people, breaking down our analysis in terms of individual and structural harms within both epistemic and moral domains. These harms include attempting to undermine the self-trust of oppressed people, reinforcing unjust epistemic power hierarchies, undermining (...) the moral agency of oppressed people, and obscuring real issues of oppression. In light of these many harms, we conclude that there are pro tanto reasons not to employ this strategy, and instead offer a series of suggestions for those considering adopting such a rhetorical move. (shrink)

El propósito de este trabajo es exponer una estrategia explicativa que está en el núcleo de A Spirit of Trust de Robert Brandom. Esta estrategia consiste, de acuerdo con nuestra lectura, en tratar la oposición epistemológica entre apariencias y realidad —y otras oposiciones conceptuales emparentadas— como una distinción interna, normativa e histórica. Mostraremos cómo Brandom hace funcionar esta estrategia apelando al procedimiento de la rememoración, que permite, al ubicar diferentes representaciones en una secuencia de desarrollo histórico, entender la distinción entre (...) apariencias y realidad como la distinción entre cómo nos representamos qué son las cosas y cómo deberíamos representárnoslas. (shrink)

Misinformation perceptions related to global crises such as COVID-19 can have negative ramifications for democracy. Beliefs related to the prevalence of falsehoods may increase news avoidance or even vaccine hesitancy – a problematic context for successful interventions and policymaking. To explore how misinformation beliefs developed over a six-month pandemic period and how they corresponded to (digital) media preferences and selective exposure to the news, we rely on a five-wave panel survey conducted in the Netherlands (N =1,742). Our main findings show (...) that misinformation perceptions got more pronounced as the pandemic evolved. Social media use related to more pronounced misinformation beliefs within waves, whereas mainstream news use corresponded to less pronounced misinformation beliefs. An important implication for journalists and policymakers is to lower the over-time accumulation of misinformation perceptions, for example, by increasing transparency and acknowledging “honest mistakes.”. (shrink)

Without trust there is no credible human health research (HHR). This article accepts this truism and addresses a crucial question that arises: how can trust continually be promoted in an ever-changing and uncertain HHR environment? The article analyses long-standing mechanisms that are designed to elicit trust—such as consent, anonymization, and transparency—and argues that these are best understood as trust represented by proxies of trustworthiness, i.e., regulatory attempts to convey the trustworthiness of the HHR system and/or its actors. Often, such proxies (...) are assumed to operate as markers that trust exists or, at least, has not been lost. But, since trust can neither be “built” nor “secured,” this is a precarious assumption. Worryingly, there is no existing theoretical account of how to understand and evaluate these proxies of trustworthiness as part of a trusted HHR ecosystem. To remedy this, the paper argues for a radical reimagining of trust and trustworthiness as performative acts that ought to be understood in relation to each other and by reference to the common values at stake. It is shown that proxies of trustworthiness are the operational tools used to perform trustworthiness. It advocates for a values-based approach to understanding the relationship between trust and trustworthiness. This establishes a strong basis for an evaluative framework for proxies of trustworthiness, i.e., to determine how to perform trustworthiness well. Five common proxies in HHR are scrutinized from a values perspective. The contribution is to provide a far-reaching normative and practical framework by which existing and future proxies of trustworthiness can be identified, assessed, maintained, or replaced in rapidly changing HHR regulatory ecosystems where trust itself is crucial to the success of the entire HHR enterprise. (shrink)

Despite pronouncements about the inevitable diffusion of artificial intelligence and autonomous technologies, in practice, it is human behavior, not technology in a vacuum, that dictates how technology seeps into—and changes—societies. To better understand how human preferences shape technological adoption and the spread of AI-enabled autonomous technologies, we look at representative adult samples of US public opinion in 2018 and 2020 on the use of four types of autonomous technologies: vehicles, surgery, weapons, and cyber defense. By focusing on these four diverse (...) uses of AI-enabled autonomy that span transportation, medicine, and national security, we exploit the inherent variation between these AI-enabled autonomous use cases. We find that those with familiarity and expertise with AI and similar technologies were more likely to support all of the autonomous applications we tested (except weapons) than those with a limited understanding of the technology. Individuals that had already delegated the act of driving using ride-share apps were also more positive about autonomous vehicles. However, familiarity cut both ways; individuals are also less likely to support AI-enabled technologies when applied directly to their life, especially if technology automates tasks they are already familiar with operating. Finally, we find that familiarity plays little role in support for AI-enabled military applications, for which opposition has slightly increased over time. (shrink)

In this paper, I propose a Kantian framework for moral trust—trust in another person to only act with us in morally permissible ways. First, I derive an understanding of trustworthiness from Kant's second formulation of the categorical imperative. I argue that trustworthiness embodies a moral imperative, guiding us to act in ways that are reliable and recognizable as conducive to engaging in trusting relations. However, this alone is not enough, as it doesn't provide a means to assess whether someone is (...) truly committed to the moral law and thus morally trustworthy. Therefore, in the second part, I explore a basis for assessing their moral conduct found in a local version of the Kingdom of Ends: given an ideal or archetype of a morally perfect interpersonal relationship, an archetype of the morally trustworthy agent allows us to comparatively assess the moral disposition of fellow agents. (shrink)

When philosophers consider factors compromising autonomy in consent, they often focus solely on the consent-giver’s agential capacities, overlooking the impact of the consent-receiver’s conduct on the consensual character of the activity. In this paper, I argue that valid consent requires justified trust in the consent-receiver to act only within the scope of consent. I call this the Trust Condition (TC), drawing on Katherine Hawley’s commitment account of trust. TC constitutes a belief that the consent-receiver is capable and willing to act (...) as we expect from them. If such trust is not warranted, I argue, consent lacks the appropriate normative grounds. After establishing TC, I explore its application in the sexual arena, asserting that due to the non-contractual dimensions of sexual activity — such as the dynamic nature of sexual desires and the absence of external factors effectively binding sexual partners to the terms of consent—trust is warranted in sexual consent by means of care. I define care as a special sensitivity and attention toward the partner’s will and discuss how this approach leads to safer intimate relationships in practice. (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)

This commentary draws critical attention to the ongoing commodification of trust in policy and scholarly discourses of artificial intelligence (AI) and society. Based on an assessment of publications discussing the implementation of AI in governmental and private services, our findings indicate that this discursive trend towards commodification is driven by the need for a trusting population of service users to harvest data at scale and leads to the discursive construction of trust as an essential good on a par with data (...) as raw material. This discursive commodification is marked by a decreasing emphasis on trust understood as the expected reliability of a trusted agent, and increased emphasis on instrumental and extractive framings of trust as a resource. This tendency, we argue, does an ultimate disservice to developers, users, and systems alike, insofar as it obscures the subtle mechanisms through which trust in AI systems might be built, making it less likely that it will be. (shrink)

Der Erfolg von Maßnahmen zur Eindämmung der COVID-19-Pandemie ist abhängig vom Vertrauen der Öffentlichkeit in wissenschaftliche Experten. Zwar ist Vertrauen als Einstellung gegenüber Experten im Zusammenhang mit der Pandemie bereits viel Aufmerksamkeit zuteilgeworden, allerdings meist in Bezug auf das Vertrauen, das Laien Äußerungen wie Behauptungen und Mitteilungen entgegenbringen, die ihnen das Wissen der Experten zugänglich machen sollen. Dieser Aufsatz stellt dagegen eine andere Art der Äußerung in den Mittelpunkt: die Empfehlung. Im Zusammenhang mit der Pandemie haben Forderungen gegenüber der Politik (...) wissenschaftsbasiert zu verfahren zugenommen. Gleichzeitig sind Politikerinnen und Politiker aber nicht das Sprachrohr der Wissenschaft, sondern übernehmen Verantwortung für eine wissenschaftsbasierte Gesundheitspolitik, unter anderem indem sie Bürgerinnen und Bürgern bestimmte Handlungen empfehlen. Damit erhebt die Politik allerdings den Anspruch, dass Bürgerinnen nicht nur glauben sollten, was ihnen von den Experten gesagt wird, sondern auch, dass sie tun sollten, was von ihnen im Rahmen der Maßnahmen verlangt wird. Ziel dieses Aufsatzes ist es daher zu zeigen, dass Empfehlungen eine Konzeption von Vertrauen erfordert, die sich vom Vertrauen im Kontext von Mitteilungen und Behauptungen stark unterscheidet. Es geht nicht nur darum, diese Art von Vertrauen genauer zu spezifizieren, sondern auch darum zu erklären, unter welchen Voraussetzungen es vernünftig ist, wissenschaftsbasierten Empfehlungen der Politik mit Vertrauen zu begegnen. Dazu gehe ich folgendermaßen vor: In Abschnitt 1 analysiere ich zunächst den Sprechakt des Empfehlens. Das dadurch gewonnene Grundverständnis von empfehlenden Sprechakten untersuche ich dann im Kontext von Empfehlungen wissenschaftlicher Experten während der Covid-19-Pandemie (Abschnitt 2) und plädiere dann dafür, dass eine Analyse der an eine breite Öffentlichkeit gerichteten Empfehlungen am besten bei Äußerungen von Politikern ansetzen muss, die sich auf das kompetente Urteil wissenschaftlicher Expertinnen und Experten beziehen (Abschnitt 3). In Abschnitt 4 diskutiere ich dann die Gründe, die ein Hörer haben könnte, eine solche Empfehlung anzunehmen, bevor ich in den Abschnitten 5 und 6 die für Empfehlungen relevante Form des Vertrauens herausarbeite. Abschnitt 7 diskutiert die Auffassung, dass Vertrauen in wissenschaftsbasierte Empfehlungen nur durch die Anerkennung der Sprecherin im Sinne einer guten Ratgeberin als rationale Einstellung ausgewiesen werden kann, bevor ich abschließend argumentiere, dass diese Rationalitätsbedingungen im Kontext der COVID-19-Pandemie nur schwer einzulösen waren. (shrink)

This paper is focused on the ways of expressing trust and distrust in financial institutions represented in the language and speech culture of the population of the Lipetsk region. Based on 55 semi-structured interviews of three generations (centennials, millennials, elder generations) living in rural and urban settlements, issues of understanding and interpretation of financial institutions, features of trust, positive and negative experiences of interaction with various financial institutions were analyzed. The use of the constructivism made it possible to interpret trust (...) as an internal component of the practices of an agent involved in the current financial situation. The study showed that in regions with an average standard of living, an average level of financial culture and the dominance of a conservative model of financial behaviour, the difference between generations is less noticeable against the backdrop of a significant difference between residents of rural and urban settlements. The analysis of interviews with three generations of residents of the region showed that the conservative model of financial behaviour continues to be reproduced in the speech culture of the informants, where banks and insurance organizations remain the most trustworthy. The images of financial institutions, represented in the language of the interviews, revealed a high level of resentment associated with the experience of past events (the collapse of the USSR, privatization). The content analysis revealed the image of the state as a “collector of payments”, and to a lesser extent, a “helper” supporting a person in his relationship with financial institutions. (shrink)

In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presumed advantages in handling and analyzing vast amounts of data, computer systems of algorithmic decision-making are implemented and substitute humans in decision-making processes. In this study, we focus on a specific application of ADM in contrast to human decision-making, namely the allocation of COVID-19 vaccines to (...) the public. In particular, we elaborate on the role of trust and social group preference on the legitimacy of vaccine allocation. We conducted a survey with a 2 × 2 randomized factorial design among n = 1602 German respondents, in which we utilized distinct decision-making agents and prioritization of a specific social group as design factors. Our findings show that general trust in ADM systems and preference for vaccination of a specific social group influence the legitimacy of vaccine allocation. However, contrary to our expectations, trust in the agent making the decision did not moderate the link between social group preference and legitimacy. Moreover, the effect was also not moderated by the type of decision-maker. We conclude that trustworthy ADM systems must not necessarily lead to the legitimacy of ADM systems. (shrink)

This paper argues that the emotional cues exhibited by AI systems designed for social interaction may lead human users to hold misplaced trust in such AI systems, and this poses a substantial problem for human-AI relationships. It begins by discussing the communicative role of certain emotions relevant to perceived trustworthiness. Since displaying such emotions is a reliable indicator of trustworthiness in humans, we use such emotions to assess agents’ trustworthiness according to certain generalizations of folk psychology. Our tendency to engage (...) in anthropomorphism with artificial agents that display these communicative emotions may mislead us into trusting them, even when such trust is misplaced. This phenomenon is referred to as the Emotions-Trustworthiness Gap. This paper demonstrates this general concept with compassion and guilt. In both cases, we may be tempted to judge that AI systems' mere mimicking of relevant emotions constitutes evidence for their trustworthiness. However, most current AI systems are not trustworthy on any major view of trustworthy AI. Thus, the trust elicited from human users will be misplaced. This tendency of human users to hold misplaced trust in their AI companions leaves them vulnerable to serious harm. Several potential solutions to the Emotions-Trustworthiness Gap are discussed. (shrink)

Autonomous vehicles (AV) offer promising benefits to society in terms of safety, environmental impact and increased mobility. However, acute challenges persist with any novel technology, inlcuding the perceived risks and trust underlying public acceptance. While research examining the current state of AV public perceptions and future challenges related to both societal and individual barriers to trust and risk perceptions is emerging, it is highly fragmented across disciplines. To address this research gap, by using the Web of Science database, our study (...) undertakes a bibliometric and performance analysis to identify the conceptual and intellectual structures of trust and risk narratives within the AV research field by investigating engineering, social sciences, marketing, and business and infrastructure domains to offer an interdisciplinary approach. Our analysis provides an overview of the key research area across the search categories of ‘trust’ and ‘risk’. Our results show three main clusters with regard to trust and risk, namely, behavioural aspects of AV interaction; uptake and acceptance; and modelling human–automation interaction. The synthesis of the literature allows a better understanding of the public perception of AV and its historical conception and development. It further offers a robust model of public perception in AV, outlining the key themes found in the literature and, in turn, offers critical directions for future research. (shrink)

Invitation to submit abstracts to the new special issue PHILOSOPHICAL PERSPECTIVES ON TRUST AND DISTRUST IN CONTEMPORARY SOCIETIES to be published by Sats. Northern European Journal of Philosophy in spring 2024.

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree of (...) uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (shrink)

The stated aim of cryptocurrencies is to free the monetary system from the need to trust financial intermediaries, by relying on incentive design and technology. Many descriptive studies, however, have questioned cryptocurrencies’ delivery on the promise of trustlessness. This paper promotes a normative analysis of trust in cryptocurrencies by discussing (i) whether trust is in principle eliminable, and (ii) whether trustlessness is in itself a desirable goal. These issues are closely related, we argue, to the further issue of what kind (...) of institutions cryptocurrencies represent. We discuss the cognitive functions played by cryptocurrencies through the lens of the “extended mind” hypothesis in the philosophy of mind and hence conceive of cryptocurrencies as mind-extending institutions. As the models of institutional mind extension differ in the fiduciary bond they assume exists between individuals and institutional resources, we compare the reliance-based model of “scaffolding institutions” with the trust-based model of “cognitive institutions,” showing that the ineliminability and desirability of trust lead to seeing cryptocurrencies as instances of the latter. In the end, our discussion suggests that trust is a necessary component of cryptocurrencies’ cognitive functions and its promotion helps to perform such cognitive functions more effectively and sustainably. (shrink)

The relationship between greenwashing and visitors' green behavior remains an under-researched topic in the tourism and hospitality literature, despite evidence of the harmful effect of greenwashing on the reputation and competitive advantage of organizations. This study extends attribution theory into the green context to develop a research framework for investigating the interrelationship between greenwashing, green trust, and green word-of-mouth (WOM), especially the roles of green trust and connectedness to nature. We conducted a survey of 289 visitors staying in four- and (...) five-star hotels in Vietnam. The findings indicated that hotels should avoid greenwashing due to its negative impact on visitors' green trust and green WOM. Moreover, the study found that greenwashing had an indirect and negative influence on green WOM based on visitors' green trust. Importantly, the research revealed the value of connectedness in moderating green attitudes and behaviors among visitors. (shrink)

Trust and trustworthiness are central concepts in contemporary discussions about the ethics of and qualities associated with artificial intelligence (AI) and the relationships between people, organisations and AI. In this article we develop an interdisciplinary approach, using socio-technical software engineering and design anthropological approaches, to investigate how trust and trustworthiness concepts are articulated and performed by AI software practitioners. We examine how trust and trustworthiness are defined in relation to AI across these disciplines, and investigate how AI, trust and trustworthiness (...) are conceptualised and experienced through an ethnographic study of the work practices of nine practitioners in the software industry. We present key implications of our findings for the generation of trust and trustworthiness and for the training and education of future software practitioners. (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)

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)

Modern democratic states are increasingly adopting new information and communication technologies to enhance the efficiency and quality of public administration, public policy and services. However, there is substantial variation in the extent to which countries are successful in pursuing such public digitalization. This paper zooms in on the role of social trust as a possible account for the observed empirical pattern in the range and scope of public digitalization across countries. Our argument is that high social trust makes it easier (...) to digitalize the public sector to the benefit of overall society. We develop a simple game-theoretical model that specifies this positive externality from a high-trust culture and provide empirical evidence that a higher level of social trust is associated with a higher level of public digitalization. Of course, high-trust countries cannot do without the rule of law and some institutionalized mechanisms of control and accountability. However, from our argument, it follows that one future challenge could be that control crowds out trust, so that the balance is no longer optimal. If such overcontrol occurs, public digitalization win–win situations between citizens and government can be undermined, even in high-trust countries. (shrink)

Especially but not exclusively in the United States, there is a significant gulf between expert opinion and public opinion on a range of important political, social, and scientific issues. Large numbers of lay people hold views contrary to the expert consensus on topics such as climate change, vaccines, and economics. Much political commentary assumes that ordinary people should defer to experts more than they do, and this view is certainly lent force by the literally deadly effects of many denials of (...) established science. But there are complex philosophical issues here, concerning, among other things, (i) what an expert is; (ii) what kind of deference is called for; (iii) and when deference is called for. This entry gives an overview of these three issues and recent work on them. It then examines some potential collective and pragmatic disadvantages of deference, before concluding with reflections on what we can say to those who distrust experts. (shrink)

Many social media platforms enable (nearly) anyone to post (nearly) anything. One clear downside of this permissiveness is that many people appear bad at determining who to trust online. Hacks, quacks, climate change deniers, vaccine skeptics, and election deniers have all gained massive followings in these free markets of ideas, and many of their followers seem to genuinely trust them. At the same time, there are many cases in which people seem to reliably determine who to trust online. Consider, for (...) example, Do It Yourself (DIY) content about how to play guitar, bake, fix one’s plumbing, or repair one’s car. For these topics, those who have the largest accounts and the most popular content typically possess significant expertise. That is, social media users seem to reliably pick out DIY experts. We thus have a puzzle: why are social media users seemingly competent at identifying DIY experts, but not climate science or vaccine experts? In what follows, we solve this puzzle. We begin by identifying a novel wisdom of the crowds phenomenon: specifically we argue that the crowd (in combination with social media search and recommendation algorithms) reliably picks out DIY experts and serves as a credentialing institution for DIY content. Next, we argue that (a) there are five epistemic factors that determine whether the crowd can succeed at recognizing experts on social media platforms, and (b) while many of those factors are satisfied to a sufficiently high degree by DIY content, they are mostly lacking for content about climate change or vaccines. (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)

In this chapter, I survey and assess various answers to two basic questions concerning experts: (1) What is an expert?; (2) How can laypeople identify the relevant experts? These questions are not mutually independent, since the epistemology and the metaphysics of experts should go hand in hand. On the basis of our platitudes about experts, I will argue that the prevailing accounts of experts such as truth-linked, knowledge-linked, understanding-linked or service-oriented accounts are inadequate. In contrast, I will defend an evidence-linked (...) account of expertise. In the second part of the chapter, I address the question of how laypeople can identify experts in this sense. Here, I will argue that agreement among experts plays a major role. I will outline how laypeople can follow this criterion without running into circularity. (shrink)

In this book John T. Lysaker is looking in the right places; he is looking in the right way, and, I think, even finds what he is looking for, and yet somehow he fails to see it. While I learned muc...

This introduction to the edited volume on "Testimonial Injustice and Trust" provides (a) a brief overview of the philosophical debate on the notion of ‘testimonial injustice’ and (b) a summary of the 18 chapters constituting this volume. The contributions are divided into four thematic sections. These are (I) Rethinking Testimonial Injustice, (II) Testimonial Injustice and the Question of Trust, (III) The Public Spheres of Testimonial Injustice, and (IV) Testimonial Injustice and Public Health. The contributions criticize, complement, or expand on Fricker’s (...) central case of testimonial injustice and the proposed virtue of testimonial justice, thereby contributing to its better understanding and extending its scope. Moreover, through the application of theories of epistemic injustice, and testimonial injustice in particular, to new real-world cases and contexts, they seek to render our theories and concepts more robust and valuable. (shrink)

ABSTRACT The testimonies of celebrities affect the lives of their many followers who pay attention to what they say. This gives celebrities a high degree of epistemic power, which has come under scrutiny during the COVID-19 pandemic. This paper investigates the duties that arise from this power. We argue that celebrities have a negative duty of testimonial justice not to undermine trust in authoritative sources by spreading misinformation or directing attention to untrustworthy sources. Moreover, celebrities have a general imperfect duty (...) to try to correct for an unjust distribution of attention by redirecting it to those who deserve it. During a pandemic this may become a perfect one, due to the harm that could be prevented if people follow the advice of experts. Relatedly, we argue that celebrities have an imperfect duty to promote behavior that will reduce the spread of a pandemic. We outline three ways they might do so: they might take on the position of a role model, they may act as a salience magnet or they can direct people’s attention towards others who have taken on these roles. (shrink)

In this paper I outline the most relevant traits of the term ‘trust’ understood as one of the synonyms for ‘certainty’ that Ludwig Wittgenstein used in his posthumous work On Certainty. To this end, I analyze the paragraphs of On Certainty in which reference is made to pupils who are expected to trust what is taught by their teacher: in addition, I note that such a process is largely based on the attitude of rejection and bewilderment that teachers promote towards (...) people who call into doubt those certainties that pupils are expected to assimilate. Subsequently, after emphasizing the importance that Wittgenstein attached to the ineffability of certainties, I explain how such certainty or trust can be staged. Lastly, I clarify why an appropriate contemplation of this staging can be of great help for pupils to achieve at least four goals of educational interest: thus, children can not only strengthen their capacity for wonder, but also experience what things are ineffable, glimpse the limits of rationality, and become more tolerant of people who are partakers of a different world-picture. (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 article evaluates an emerging element in popular debate and inquiry: DYOR. (Haven’t heard of the acronym? Then Do Your Own Research.) The slogan is flexible and versatile. It is used frequently on social media platforms about topics from medical science to financial investing to conspiracy theories. Using conceptual and empirical resources drawn from philosophy and psychology, we examine key questions about the slogan’s operation in human cognition and epistemic culture.

What is it to know someone? Epistemologists rarely take up this question, though recent developments make such inquiry possible and desirable. This paper advances an account of how such interpersonal knowledge goes beyond mere propositional and qualitative knowledge about someone, giving a central place to second-personal treatment. It examines what such knowledge requires, and what makes it distinctive within epistemology as well as socially. It assesses its theoretic value for several issues in moral psychology, epistemic injustice, and philosophy of mind. (...) And it offers an account of the complex content in play if interpersonal knowledge is to be understood in terms of its mental states and their functions. (shrink)

This letter responds to the essay “Securing the Trustworthiness of the FDA to Build Public Trust in Vaccines,” by Leah Z. Rand, Daniel P. Carpenter, Aaron S. Kesselheim, Anushka Bhaskar, Jonathan J. Darrow, and William B. Feldman, in the special report “Time to Rebuild: Essays on Trust in Health Care and Science,” in the September‐October 2023 issue of the Hastings Center Report.

Computer simulations are nowadays often directly involved in the generation of experimental results. Given this dependency of experiments on computer simulations, that of simulations on models, and that of the models on free parameters, how do researchers establish trust in their experimental results? Using high-energy physics (HEP) as a case study, I will identify three different types of robustness that I call conceptual, methodological, and parametric robustness, and show how they can sanction this trust. However, as I will also show, (...) simulation models in HEP themselves fail to exhibit a type of robustness I call inverse parametric robustness. This combination of robustness and failures thereof is best understood by distinguishing different epistemic capacities of simulations and different senses of trust: Trusting simulations in their capacity to facilitate credible experimental results can mean accepting them as means for generating belief in these results, while this need not imply believing the models themselves in their capacity to represent an underlying reality. (shrink)