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)

an unpublished paper written in 1998-1999.

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)

In their highly topical paper, Grahamet alargued that Trusted Research Environments (TREs) are not actually about trust because they reduce or remove ‘…the need for trust in the use and sharing of patient health data’. We believe this is fundamentally mistaken. TREs mitigate or remove some risks, but they do not address all public concerns. In this regard, TREs provide evidence for people to decide whether the bodies holding and using their data can be trusted. TREs may make it easier (...) for people to trust but there is still a need for that trust. (shrink)

Nietzsche talks about trust [vertraue*] and mistrust [misstrau*] in all of his published and authorized works, from The Birth of Tragedy to Ecce Homo. He refers to trust in 90 passages and mistrust in 101 – approximately ten times as often as he refers to resentment/ressentiment. Yet the scholarly literature on Nietzsche and trust includes just a handful of publications. Worse still, I have been unable to find a single publication devoted to Nietzsche and mistrust. This chapter aims to fill (...) the gap in the secondary literature by using digital humanities methods to systematically investigate the functions of trust and mistrust in Nietzsche’s writings. I argue that Nietzsche offers three main insights into trust and an additional two into mistrust. When it comes to trust, in his free spirit works, he reflects on the development of interpersonal trust, with an eye to situations in which trust is or is not reciprocated. He also criticizes some of the heuristics people use to identify trustworthy partners, especially the notion that all and only people with stable character are trustworthy. And perhaps Nietzsche’s most interesting thoughts about trust relate to self-trust, which he thinks is often unjustifiably undermined. When it comes to mistrust, although he regards generalized mistrust as a sign of bad character, he also thinks that harnessing mistrust can be valuable in at least two domains. One is morality, where we are disposed to accept traditional pieties and would benefit from turning a suspicious eye towards these pieties. The other is science, which systematizes both trust and mistrust in pursuit of the truth. (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)

Could having a sense of humor be a virtue? In this paper, we argue for an affirmative answer to this question. Like other virtues, a sense of humor enhances and inhibits the expression of various emotions, especially amusement, contempt, trust, and hope. Someone possesses a virtuous sense of humor to the extent that they are well-disposed to appropriately enhance or inhibit these emotions in themselves and others through both embodied reactions (e.g., smiling, laughter, eyerolls) and language (e.g., telling jokes, understanding (...) others’ jokes, etc.). Regarding the aims or purposes of a sense of humor, we argue that a sense of humor aids both its bearer and other people who are socially connected to the bearer with coping, connection, capability, and criticism. If this is on the right track, then the value of a sense of humor is pluralistic: a sense of humor doesn’t do just one thing, but several things simultaneously. We then explore four contexts in which a sense of humor is especially needed, namely hardship, social relationships, social and political cooperation, and existential reflection. (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)

What do humility, intellectual humility, and open-mindedness mean in the context of inter-group conflict? We spend most of our time with ingroup members, such as family, friends, and colleagues. Yet our biggest disagreements —— about practical, moral, and epistemic matters —— are likely to be with those who do not belong to our ingroup. An attitude of humility towards the former might be difficult to integrate with a corresponding attitude of humility towards the latter, leading to smug tribalism that masquerades (...) as genuine virtue. These potentially conflicting priorities have recently come to the fore because “tribal epistemology” has so thoroughly infected political and social discourse. Most research on these dispositions focuses on individual traits and dyadic peer-disagreement, with little attention to group membership or inter-group conflict. In this chapter, we dilate the social scale to address this pressing philosophical and social problem. (shrink)

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 close 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)

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)

This chapter discusses the topics of trust and expertise from the perspective of political epistemology. In particular, it addresses four main questions: (§1) How should we characterise experts and their expertise? (§2) How can non-experts recognize a reliable expert? (§3) What does it take for non-experts to trust experts? (§4) What problems impede trust in experts?

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 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.

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)

How does trust operate under conditions of oppression? Little attention has been paid to how distrust may be both necessary and costly to its bearer. Distrust is clearly warranted under certain conditions, but do those conditions contribute to a reduction in one's overall well-being? More importantly, is there something about distrust itself (rather than the conditions that warrant it) that contributes to this reduction in well-being? In this essay, I explore these questions in depth. I explain what the costs of (...) distrust are and how they impede our well-being. I argue that the weakened development of trust through oppression has some important downstream consequences: namely, it requires the cultivation of skepticism as a virtue of distrust, which I argue should be included as one of Lisa Tessman's burdened virtues—those that are required for survival but that do not necessarily lead to the agent's flourishing. (shrink)

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

Could translation be fully automated? We must first acknowledge the complexity, ambiguity, and diversity of natural languages. These aspects of natural languages, when combined with a particular dilemma known as the computational dilemma, appear to imply that the machine translator faces certain obstacles that a human translator has already managed to overcome. At the same time, science has not yet solved the problem of how human brains process natural languages and how human beings come to acquire natural language understanding. We (...) will then distinguish between the task of translation and the responsibility of the translator. Thereafter, we will conduct a survey of the methods of machine translation (viz. RBMT, SMT, NMT, foundation models or large language models). These methods will then be critically evaluated both in general and relative to Bar-Hillel’s hypothesis about the impossibility of fully automatic, high-quality machine translation (F ahqmt ). Some concluding remarks will be made about the scope, prospects, and limits of machine translation. (shrink)

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

For many of the moral beliefs we hold, we know that other people hold moral beliefs that contradict them. If you think that moral beliefs can be correct or incorrect, what difference should your awareness of others’ disagreement make to your conviction that you, and not those who think otherwise, have the correct belief? Are there circumstances in which an awareness of others’ disagreement should lead you to suspend a moral belief? If so, what are they, and why? This paper (...) argues that three principles, taken together, give us a good answer to these questions; that they license a form of provisional moral self-trust; and that they reveal an interestingly distinctive form of pragmatic encroachment in relation to the epistemic standards governing moral belief. (shrink)

Despite their clearly demonstrated safety and effectiveness, approved vaccines against COVID-19 are commonly mistrusted. Nations should find and implement effective ways to boost vaccine confidence. But the implications for ethical vaccine development are less straightforward than some have assumed. Opponents of COVID-19 vaccine challenge trials, in particular, made speculative or empirically implausible warnings on this matter, some of which, if applied consistently, would have ruled out most COVID-19 vaccine trials and many non-pharmaceutical responses.

The use of artificial intelligence in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by individual (...) differences in performance expectancy and social influence and how they, in turn, impact organizational trust. We collected primary data from over 300 individuals who were either active job seekers or who had recent hiring experience to capture perceptions across the full range of hiring methods. Our findings indicate that performance expectancy, but not social influence, impacts the ethical perceptions of AI in hiring, which in turn influence organizational trust. Additional analyses indicate that these findings vary depending on the type of hiring methods AI is used for, as well as on whether participants are job seekers or individuals with hiring experience. Our study offers theoretical and practical implications for ethics in HRM and informs policy implementation about when and how to use AI in hiring methods, especially as it pertains to acting ethically and trustworthily. (shrink)

We tend to think that philosophical progress, to the extent that it exists, is a good thing. I agree. Even so, it has some surprising unfortunate consequences for the rationality of philosophical belief.

Giorgia Pozzi’s feature article1 on the risks of testimonial injustice when using automated prediction drug monitoring programmes (PDMPs) turns the spotlight on a pressing and well-known clinical problem: physicians’ challenges to predict patient behaviour, so that treatment decisions can be made based on this information, despite any fallibility. Currently, as one possible way to improve prognostic assessments of patient behaviour, Machine Learning-driven clinical decision support systems (ML-CDSS) are being developed and deployed. To make her point, Pozzi discusses ML-CDSSs that are (...) supposed to deliver physicians an accurate estimation of the likelihood of narcotic, sedative and stimulant opioid misuse by a given patient (like, e.g., ‘NarxCare’). Regarding cases of deviating assessment between human evaluators and automated systems, the medico-ethical discussion has so far mainly focused on disagreement between clinicians and Machine Learning (ML) algorithms,2 for example in ‘second opinions’ that have been reconstructed as disagreements between physician testimony and ML-CDSS testimony.3 Examples such as those of PDMPs, by contrast, draw attention to situations in which patient testimony potentially contradicts ML-CDSS testimony. Pozzi examines decision-making situations in which ML-CDSS testimony factually overrides the testimony of the person affected. Thus, in the presented case of patient Kathryn, the testimony of her own physical and mental condition was insufficient to overturn the unfavourable outcome for …. (shrink)

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

Background: Providing care for a home-dwelling person with dementia who resists care is an ethical and practical complex and challenging task. Faced with a growing number of persons with dementia, the healthcare professional’s understanding of how to best care for and prevent unnecessary use of coercion with persons with dementia is of key importance. Research aim: The aim of this study was to explore the use of trust-building interventions in home-dwelling persons with dementia resisting care, as described by health professionals (...) in documents of decisions of forced treatment and care. Research design: A qualitative thematic document analysis inspired by critical realism was conducted. Participants and research context: Descriptions of trust-building interventions were extracted from 88 documents of forced treatment and care for home-dwelling persons with dementia, receiving home healthcare, in 2015 and 2016. Ethical considerations: Approved by the Regional Committee for Medical and Health Research Ethics, reference number 2017/788, and controlled by the Norwegian Centre for Research Data, reference number 54897. The study adhered to the guidelines of the Declaration of Helsinki. Findings: We found that “balancing safe care with the person’s integrity” was an overarching theme that permeated the descriptions of trust-building interventions in the study. Three main themes were identified when the data were analyzed: safeguarding care, protecting integrity, and optimizing the environment. Discussion and conclusion: Health professionals balanced on a thin line between care and integrity when met with resistance from person with dementia. However, the trust-building interventions used in the most challenging situations did not differ from the interventions used in general in dementia care. Two knowledge gaps were identified: how to perform appropriate assessments of situations of home-dwelling persons with dementia when met with resistance to care, and whether environmental initiatives may also benefit home-dwelling persons with dementia who are not easily cared for. (shrink)

In this chapter, I argue that it is impossible to trust the Big Tech companies, in an ethically important sense of trust. The argument is not that these companies are untrustworthy. Rather, I argue that the power to hold the trustee accountable is a necessary component of this sense of trust, and, because these companies are so powerful, they are immune to our attempts, as individuals or nation-states, to hold them to account. It is, therefore, literally impossible to trust Big (...) Tech. After introducing the accounts of trust and power that I deploy, I argue that Big Tech companies have four kinds of power that render them unaccountable: fiscal power, political power, data power, and cognitive power. I conclude by reflecting on recent calls to break up the Big Tech firms, suggesting a new antitrust test in the light of my arguments. (shrink)

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

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)

The Public Trust Doctrine is the key normative premise for American wildlife management. Current interpretations suggest that natural resources, such as game species or all wildlife, are owned by the state and held in trust for the public. I argue that using the doctrine as a normative principle biases decisions in favour of consumptive uses of organisms, contrary to the field’s stated goals to employ an ecumenical normative foundation. I use the Red Cliffs Desert Reserve in Utah as a case (...) study to illustrate how this bias manifests in practice. I also provide a new normative principle for wildlife managers. (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)

We advance an argument that the virtue of hope holds pride of place in development of psychological traits that promote one’s flourishing. We define hope, the virtue, as the disposition to envision future good possibilities for oneself and one’s community and to move towards those possibilities. Our argument is partly theoretical and partly empirical. On the theoretical side, we show that hope is not simply one virtue among many, but rather, hope is a necessary condition for the development of other (...) virtues, and so for flourishing. We then draw on empirical data from psychology to argue that early in development, we need relationships of trust with caregivers to develop the future orientation and features of agency constitutive of hope, the virtue. It follows that hope and its components need to be fostered partly through trusting relationships early on for a person to flourish. (shrink)

One fundamental divide among philosophers studying the nature of trust concerns the relation between trust and belief. According to doxastic accounts of trust, trust entails a belief about the trustee: either the belief that she is trustworthy with respect to what she is trusted to do, or that she will do what she is trusted to do. Non-doxastic accounts deny that trusting entails holding such a belief. The chapter describes and evaluates the main considerations which have been cited for and (...) against doxastic accounts of trust. It argues that a preemptive reasons account of trust neutralizes some of the key objections to doxastic accounts, and that considerations favoring a doxastic account appear to be stronger than those favoring non-doxastic accounts. The chapter also suggests that the debate about the nature of trust, and the mental state required for trusting can benefit from linking it with the debate about the value of trust. (shrink)

While the effect of culture on finance and management has been well documented in the literature, it is unclear whether and by which channel(s) ethnic diversity affects corporate social responsibility (CSR). Integrating social identity theory and neo-institutional theory, we investigate the ethnic diversity–CSR relation and explore potential mechanisms and boundary conditions. Based on the distribution of ethnic groups across different regions in China, We find that ethnic diversity negatively affects firms’ CSR performance. We document that social trust mediates the negative (...) ethnic diversity–CSR relationship, and linguistic diversity strengthens and marketization mitigates this relation. The results are robust for potential endogeneity and alternative measures of ethnic diversity and CSR performance. Our study highlights the impact of ethnic diversity on corporate behaviors, and provides practical and ethical implications on CSR promotion. (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)

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

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)

Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human–autonomy teaming. However, other factors may influence users’ perceptions and use of autonomous systems, such as perceived intent of robots and decision authority of the robots. The current study experimentally examined participants’ trust in an autonomous security robot (ASR), perceived trustworthiness of the ASR, and desire to use an ASR that varied in levels of decision authority and benevolence. Participants (N = 340) (...) were recruited from Amazon Mechanical Turk. Results revealed the participants had increased trust in the ASR when the robot was described as having benevolent intent compared to self-protective intent. There were several interactions between decision authority and intent when predicting the trust process, showing that intent may matter the most when the robot has discretion on executing that intent. Participants stated a desire to use the ASR in a military context compared to a public context. Implications for this research demonstrate that as robots become more prevalent in jobs paired with humans, factors such as transparency provided for the robot's intent and its decision authority will influence users’ trust and trustworthiness. (shrink)

A theme running through Katherine Hawley’s recent works on trust and trustworthiness is that thinking about the relations between these and Miranda Fricker’s notion of testimonial injustice offers a perspective from which we can see several limitations of Fricker’s own account of testimonial injustice. This paper clarifies the aspects of Fricker’s account that Hawley’s criticisms target, focusing on her objections to Fricker’s proposal that its primary harm involves a kind of epistemic objectification and her characterization of testimonial injustice in terms (...) of prejudicial credibility deficits. I also offer an assessment of the potency of Hawley’s objections, concluding that they do point to genuine limitations of Fricker’s account, but that we can appreciate Hawley’s points without adopting her trust-centric approach to testimonial injustice, or her specific commitment-based accounts of trust and trustworthiness. However, in the last section I examine the positive picture of testimonial injustice that emerges from Hawley’s discussion of unequally distributed obstacles to both being trustworthy and maintaining a reputation for trustworthy testimony in her recent book How To Be Trustworthy, considering how this picture contrasts with Fricker’s account and where it might have important affinities with other accounts in the literature. (shrink)