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To reduce uncertainty on products, means of payment, debtors and customers, early modern merchants relied on networks of trusted partners providing expertise at each specific stage of the chains of transaction they took part in. The resulting network could then be turned into a ring, a group using its superior access to information and collective control of credit and means of transportation on a given market segment to exclude competitors and ensure monopoly domination; such rings were found in local trade (flour in Pennsylvania) just as much as in long-distance, intercontinental trade (sugar across the Atlantic). Building them was the primary goal of European merchant groups, in order to capture oligopolistic profits from both suppliers and customers. Large traders diversified across several powerful rings could mitigate risk almost fully, with even brutal exogenous shocks such as war becoming manageable through collective action. Prices had a customary component, but rings of buyers and sellers would often try to nudge them upwards or downwards. Even on less concentrated markets, merchants tried to build anticompetitive coalitions, if only through differential specialization.
To make a profit, early modern merchants had to belong to a group dominating or at least operating collectively on a market segment. Merchants relied on their “credit,” both in the narrow sense of ability to borrow and in the broader sense of being allowed into the group. Within it, mutual trust was built through a continuous Maussian exchange of favors, most notably book credit allowing for deferred payment, often interest-free, and shared insider information underpinning lucrative ventures, including with friendly officials. Social, religious, and family links played a role in this process, with complicated rules governing the creation of new links with new partners. Disputes did develop, but relationships were broken up only for serious cause. Double-entry bookkeeping helped track the complex flows of credit created by these networks; its first goal was not to calculate profit, but to serve as a source of mutual security, as confirmed by textbooks teaching the technique. In this universe, “profit” meant primarily an improvement in one’s group position – profit on individual ventures was much less important than acceptance by the group and the prospects of future profit it opened.
The chapter explores how engagements with strangers were established in the early medieval emporia in Northern Europe, and how trust was created from the ‘weak ties’ of social networks in these meeting places. It has its foundations in the archaeological record, which is contextualized in a broader geographical and temporal framework. Focusing on themes such as maritime mobility and interaction, scale and organization of transport, modes of trade and exchange, extraction and circulation of materials, crafts and specialized urban production, and the cultural interactions of urban communities, the chapter debates how the findings of Viking-Age archaeology may hold important implications more generally for those studying the development of urbanism and the history of human societies. It also considers how emporia operated as an aspect of social networks beyond regional groups and polities in the non-state societies of early medieval Northern Europe, and how aspects of social networks can account for the development of these centres.
Our chapter will discuss the role that trust and social affiliation play in human evacuee decisions to continue following a robot that produces questionable guidance directions during an emergency. Our research has demonstrated that people will follow a robot’s guidance directions during an emergency even if the robot has demonstrated its fallibility or the robot’s directions are illogical. We have recently completed extensive experimentation using a combination of virtual reality and physical experiments. Our results suggest that social affiliation may be a driver of decisions to follow the robot in spite of clear evidence that doing so will put the person in harm’s way. The findings suggest that increasing a robot’s ability to interact with evacuees may foster empathy with the robot, increasing risk for the evacuee in contexts where the robot is fallible or where the best decision is to abandon the robot.
Recent advances in large language models (LLMs) have enabled artificial systems to generate responses widely perceived as empathic, raising fundamental questions about the nature and value of empathy. This chapter examines why, despite evidence that AI can equal or even surpass humans in tasks of cognitive empathy, human empathy remains uniquely valued by recipients. We review empirical findings comparing human and AI empathic responses, highlighting the critical role of perceived source, effort, motivation, and trust in shaping recipients’ experiences. We argue that the value of empathy depends on the type of empathy sought – cognitive, affective, or motivational – and that AI may be well suited for some empathic functions but not others. Finally, we consider the broader societal implications of artificial empathy, including cultural variation, trust, skill erosion, and the future of human relationships, outlining key open questions for research on empathy in an AI-mediated world.
This chapter critically examines trust-based leadership (TBL), arguing that its core principles – trust, empowerment, and autonomy – function within a managerialist framework to reproduce, rather than redress, asymmetrical power relations between managers and workers. Drawing on Scandinavian reform examples and contemporary studies, the chapter presents TBL as a managerialist concept. It shows that trust, empowerment, and autonomy are typically granted conditionally by managers, constrained by managerial definitions of ‘trustworthy’ behaviour and bounded by strategic and administrative prerogatives. Rather than realising workplace democracy or redistributing authority, TBL often consolidates managerial discretion, produces an illusion of participation, and reframes worker agency as something to be authorised. The ‘dark side’ of TBL therefore lies not in implementation failures but in the principles themselves as deployed within managerialism: they normalise managerial authority while obscuring the political dimension of labour, agency, and collective governance.
Chapter 9 takes up the issues of trust and hope in the care provided by nurses – including trust in machines and colleagues – and revisits themes of power, autonomy and advocacy in decision-making about care. Trust is central to negotiating treatment in the nurse–patient relationship because the patient does not choose to enter into a relationship with the nurse. In considering the nature and scope of trust, and the extent to which nurses can be expected to accommodate patients’ wishes, the chapter also discusses the importance of hope and of avoiding both unrealistic hope and hopelessness.
Consider the paranoid parent who hires a babysitter and then monitors her via a nanny-cam while out for dinner. Despite what she may say, it is intuitive that she fails to trust the babysitter. Why is this the case? One response has been to propose a constraint against inquiring while trusting. This paper argues that this constraint fails to explain other intuitive instances of a failure of trust owing to epistemic features of the trustor. In light of this, the arguments here suggest the need to adopt an additional constraint. One tempting hypothesis is a constraint against knowing while trusting. This proposal has explanatory advantages but also comes with its problems. This paper will first consider the hypothesis that when one trusts, one cannot know. In responding to objections, it will ultimately argue for a trust-based certainty constraint. The paper thus establishes the need for an additional epistemic condition on trusting and concludes that the trust-based certainty constraint is the most appropriate.
Adults tell teenagers to think about the future, delay gratification, and make better choices, as if waiting were purely a private matter of willpower. The research suggests something more complicated. Children and adults alike wait longer when the people promising a reward have proven reliable, and less when those people have not. This essay, written directly for teenage readers, examines what schools teach about time through deadlines, grades, portals, notifications, feedback, and the small promises adults make and either keep or break. Rereading Orwell’s Animal Farm, it argues that the humanities matter not because they teach students to wait or obey, but because they teach students to judge what deserves their patience, effort, and trust.
How does experiencing direct investment loss affect individuals’ trust in the financial system? Exploiting recent UK corporate financial failures that generated press headlines, government debates, and institutional criticisms, we design and analyse a survey involving investors in these failures. We find that direct exposure to investment losses significantly reduces trust in financial markets, regulators, big audit firms, and the likelihood of future risky asset market participation. Moreover, trust loss is not fully reversible even with possible compensation. Individual characteristics are not the key drivers of trust losses/gains either. We also survey master’s students exposed to reading about these failures. Information about losses of others reduces trust but less than direct experience. Overall, our results emphasize the role of personal experience in determining trust and future investment decisions.
The erosion of international law is not unique in today’s world. Its crisis of legitimacy is characterised by polarisation in world affairs, declining trust among actors on the international plane and competing claims to authority. Existing perspectives on international law and international relations explain this erosion only partially since they overlook the relational processes through which international law acquires meaning and binding force. This article introduces the Theory on the Relational Normativity of International Law (TORNIL), which reconceptualises the sources of international law’s normativity as arising from the interaction of formal rules, moral values, and relationships— between actors concerned with and affected by its application and development—characterised along a continuum of trust and distrust. By operationalising this framework through the practices of principled negotiation, the article advances a relational understanding of international law’s normativity and offers a pathway for rebuilding legitimacy and trust in global governance.
This article examines how formal civil society organizations (CSOs) perceive and engage with informal actors in crisis management and investigates the relational dynamics that bind diverse actors in polycentric governance systems. Adopting a qualitative interpretivist epistemology, the study proceeds from the premise that social realities, including organizational relationships, legitimacy, and trust, are constructed through meaning-making and intersubjective understanding. Drawing on interviews, focus groups, and case studies with 53 CSOs across multiple European countries, the study employs a modified grounded theory approach, consistent with interpretivist traditions that prioritize contextual understanding over objective measurement. The findings reveal a clear divide among formal CSOs. One half dismissed informal actors as untrained risks requiring hierarchical control, reflecting a command-and-control orientation. The other half demonstrated a polycentric orientation, recognizing and legitimizing informal actors without attempting to absorb them. Where polycentric attitudes prevailed, relationships were characterized by four elements: trust built through recognition rather than hierarchy, flexibility in distinguishing specialized from transferable tasks, equality emerging through co-production, and temporality leveraged as a resource for adaptive, short-term cooperation. The article contributes to understanding the relational dynamics within polycentric crisis governance by specifying how these four elements are enacted in practice. In doing so, it helps operationalize polycentricity for crisis management, a contribution called for in the literature. From an interpretivist standpoint, these findings do not claim generalizable causality but instead offer a theoretically grounded understanding of how actors themselves make sense of, negotiate, and co-construct effective cooperation across organizational boundaries.
How does childhood exposure to large-scale criminal violence and militarized law enforcement shape political attitudes and behavior? We examine the case of Mexico’s drug war, where a generation has been raised amidst the country’s most violent conflict in over a century. Surveying nearly 3,000 urban youth to measure their political and interpersonal trust, we matched respondents to historical data on criminal violence and military confrontations and operations in their childhood municipalities. Disentangling the effects of criminal violence and military interventions, we find that exposure to homicidal violence during childhood erodes interpersonal trust and trust in law enforcement, while military interventions – especially those involving violent confrontations – broadly undermine trust in federal security institutions and generate political backlash against the parties that governed Mexico during the exposure period. These findings have important implications for young democracies affected by high crime and violence and advance our understanding of how criminal wars influence political socialization.
Health technology assessment (HTA) has advanced rigorous, transparent methods for informing resource allocation; however, persistent inequities, declining trust, and rapidly evolving technologies expose a gap between technical excellence and social justice. This perspective synthesizes Plenary Three of the HTAi 2025 Annual Meeting, which examined how HTA can contribute to more transparent, equitable, and fair health systems. Drawing on multistakeholder perspectives from patient advocacy, global health equity, health policy, industry, and HTA research, this article argues that transparency, equity, and trust must be treated as foundational principles rather than optional enhancements. It highlights persistent challenges, including opaque deliberation, context-dependent definitions of equity, limited feedback to patient contributors, and evidence bases that insufficiently reflect diverse populations. Emerging practices from leading HTA bodies illustrate practical pathways forward. The article concludes that HTA’s convening power can help transform it from a technical gatekeeper into a guardian of fairer health systems across diverse contexts.
The conclusion synthesizes the key findings and explores their implications for our understanding of economic expectation formation. It also highlights the new insights that can be gained about the relationship between capitalism and economics and underscores the critical role of trust in economic decision-making, as demonstrated by the results of the study.
In the face of the everchanging and increasingly complex regulatory and socio-technical challenges posed by AI and the Internet of Things, there is an urgent need for closer collaboration between technology designers and lawyers. Accountable Design provides a timely framework for bridging disciplines to design legally accountable technologies. Proposing the new concept of Accountable Design, Lachlan David Urquhart explores how to incorporate legal values into human-centered design processes. Three novel case studies ground discussion by showcasing uses of new technologies in cities, homes, and biometric applications while exploring how to design for privacy, security, trust, and safety. The book synthesizes insights from across technology law, human-computer-interaction, design research, science and technology studies, and philosophy of technology to address the challenges of building better technological design futures for humans and society.
Communication involves commitment to one’s words. These words often carry multiple layers of meaning. The explicit meaning may commit the speaker to one proposition, and the implicit to another. This raises the question: to which meaning are speakers seen as committed? This study examined whether listeners process commitment to utterances’ explicit and implicit meaning independently or integratively. Across three experiments, participants were presented with communicative scenarios and corresponding outcomes (each meaning’s truth-value). Participants’ perceived commitment to each meaning (explicit or implicit) was measured through a direct commitment probe and overall trust. All three experiments demonstrated that the truth-value of the implicit content influenced perceived commitment not only to the implicit meaning, but also to the explicit, despite the latter being independently true/false. The effect was asymmetrical: the explicit truth-value influenced commitment almost exclusively to the explicit meaning. Thus, we observed an ‘implicit dominance’ that was present despite variation in presentation and stimuli. Compared to direct commitment, trust was shaped by all truth-values, indicating that trust reflects a global evaluation of the speaker, while commitment is aligned with specific communicative intentions. These findings suggest that listeners integrate different meanings when evaluating a speaker’s commitment to their words.
Chapter 5 analyses how to design more trustworthy and safer Clever Biometric Computing systems, that is, sensor technologies that read and computationally interpret the human body using AI. The complex socio-technical histories around facial recognition technologies (FRT) and emotion recognition (ERT) are presented, as key examples of Clever Biometric Computing. Discussion focuses on why they are ethically, legally, and socio-technically problematic. The chapter then explores the EU policy landscape around trustworthy AI and the EU Artificial Intelligence Act (AIA). The AIA formal legal requirements for design of AI systems are comprehensively analysed, particularly the turn to design for regulating high-risk AI systems (HRAIS). Some requirements that are analysed include human oversight, fundamental rights impact assessments, data governance, record keeping, and transparency. Different examples are presented too, such as ERT for safety in cars, industrial workplaces, and law enforcement use of live FRT. Ways to overcome challenges of operationalising the HRAIS requirements from an Accountable Design perspective are a key part of this chapter.
Genetic management of threatened species to reduce extinction risk is sometimes considered controversial, with earlier surveys demonstrating that the general public are more cautious about genetic management than about some other conservation interventions including killing feral animals. This paper explores the acceptance of genetic management in greater detail, assessing whether people’s views change if more information is provided on why it might be necessary and what are the consequences of failing to consider genetic management of very small populations. Overall, we found that the acceptance of genetic management aiming to reduce the extinction risk of six threatened birds was 73% among respondents (n = 2,586) from Australia while 14% found it unacceptable and the remaining 13% had no opinion. Most respondents chose the same level of acceptance for all six threatened bird species presented as case studies, even though the intensity of genetic management varied from interbreeding populations to gene editing. We did not find support for the hypothesis that providing more detailed information to respondents about specific genetic management strategies would increase their level of acceptance. While longer, more-detailed introductory text about extinction risk and genetic management helped respondents form an opinion, it had no effect on acceptance. Moreover, when more information was provided in individual case studies, the level of acceptance was lower, although it remained above 50% for all cases. Instead, the level of acceptance was positively associated with respondents’ age, their trust in science and their risk-taking behaviour.
Collaboration between physician Key Opinion Leaders (KOLs) and the health care industry accelerates the adoption of new therapies, but public awareness of industry payments and research linking such payments to prescribing behaviors has fueled a sharp decline in trust. Meanwhile, for-profit, industry-aligned credentialing programs have begun to define and train KOLs with little public accountability. Without independent alternatives, these models may entrench standards that serve corporate interests over the public good. We review the evolution of the KOL role, from early communication theory to its integration into pharmaceutical marketing and examine the rise of Public Scholarship (PS) as an academic movement grounded in beneficence, transparency, and civic accountability. From this analysis, we propose a Key Opinion Leader Public Scholarship Certification (KOL-PSC) program, governed jointly by academics and patient advocates, to align KOL influence with public interests. The KOL-PSC model includes a skills-based curriculum in ethical science communication, patient engagement, and conflict-of-interest management, culminating in a public-facing capstone project. Governance safeguards will ensure independence from commercial influence while offering industry the reputational benefits of working with certified experts. This voluntary, non-regulatory credential offers a proactive means to restore public trust in physician–industry collaboration, thereby benefitting patients, physicians, academia, and industry.