Should we be worried that the concept of trust is increasingly used when we assess non-human agents and artefacts, say robots and AI systems? Whilst some authors have developed explanations of the concept of trust with a view to accounting for trust in AI systems and other non-agents, others have rejected the idea that we should extend trust in this way. The article advances this debate by bringing insights from conceptual engineering to bear on this issue. After setting up a (...) target concept of trust in terms of four functional desiderata (trust-reliance distinction, explanatory strength, tracking affective responses, and accounting for distrust), I analyze how agential vs. non-agential accounts can satisfy these. A final section investigates how ‘non-ideal’ circumstances—that is, circumstances where the manifest and operative concept use diverge amongst concept users—affect our choice about which rendering of trust is to be preferred. I suggest that some prominent arguments against extending the language of trust to non-agents are not decisive and reflect on an important oversight in the current debate, namely a failure to address how narrower, agent-centred accounts curtail our ability to distrust non-agents. (shrink)

This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are presented. First, given blockchains’ capacity for being institution-like entities by inviting expectations similar to those invited by traditional institutions, blockchain trust is argued to be best conceptualized as (...) a specialized form of trust in institutions. Keeping only the core functionality and certain normative ideas of institutions, this technology broadens our understanding of trust by removing the need for third parties while retaining the value of trust for the trustor. Second, the paper argues that blockchains’ decentralized nature and the implications and effects of this decentralization on trust issues are double-edged. With the erasure of central points, the systems simultaneously crowd out the pivotal role played by traditional institutions and a cadre of representatives in meeting their assigned obligations and securing the functional systems’ trustworthy performances. As such, blockchain is positioned as a technology containing both disruptive features that can be embedded with meaningful normative values and inherent ethical limits that pose a direct challenge to the actual trustworthiness of blockchain implementations. Such limits are proposed to be ameliorated by facilitating a shift of responsibility to the groups of people directly associated with the engendering of trust in the blockchain context. (shrink)

Are trust relationships involving humans and artificial agents possible? This controversial question has become a hotly debated topic in the emerging field of machine ethics. Employing a model of trust advanced by Buechner and Tavani :39–51, 2011), I argue that the “short answer” to this question is yes. However, I also argue that a more complete and nuanced answer will require us to articulate the various levels of trust that are also possible in environments comprising both human agents and AAs. (...) In defending this view, I show how James Moor’s model for distinguishing four levels of ethical agents in the context of machine ethics :18–21, 2006) can help us to develop a framework that differentiates four levels of trust. Via a series of hypothetical scenarios, I illustrate each level of trust involved in HA–AA relationships. Finally, I argue that these levels of trust reflect three key factors or variables: the level of autonomy of the individual AAs involved, the degree of risk/vulnerability on the part of the HAs who place their trust in the AAs, and the kind of interactions that occur between the HAs and AAs in the trust environments. (shrink)

The present essay includes an overview of key milestones in the development of computer ethics as a field of applied ethics. It also describes the ongoing debate about the proper scope of CE, as a subfield both in applied ethics and computer science. Following a brief description of the cluster of ethical issues that CE scholars and practitioners have generally considered to be the standard or "mainstream" issues comprising the field thus far, the essay speculates about the future direction of (...) CE and describes some theoretical and practical questions that will likely arise. (shrink)

As software developers design artificial agents , they often have to wrestle with complex issues, issues that have philosophical and ethical importance. This paper addresses two key questions at the intersection of philosophy and technology: What is deception? And when is it permissible for the developer of a computer artifact to be deceptive in the artifact’s development? While exploring these questions from the perspective of a software developer, we examine the relationship of deception and trust. Are developers using deception to (...) gain our trust? Is trust generated through technological “enchantment” warranted? Next, we investigate more complex questions of how deception that involves AAs differs from deception that only involves humans. Finally, we analyze the role and responsibility of developers in trust situations that involve both humans and AAs. (shrink)

Ignorance of one’s privileges and prejudices is an epistemic problem. While the sources of ignorance of privilege and prejudice are increasingly understood, less clarity exists about how to remedy ignorance. In fact, the various causes of ignorance can seem so powerful, various, and mutually reinforcing that studying the epistemology of ignorance can inspire pessimism about combatting socially constructed ignorance. I argue that this pessimism is unwarranted. The testimony of members of oppressed groups can often help members of privileged groups overcome (...) their ignorance. This paper argues that a particular type of speaker’s trust—hopeful trust—can motivate hearers to become cognizant of their privilege and prejudice. I argue that hopeful trust is a powerful way of eliciting trust-responsiveness that can be an effective mechanism for challenging privilege and prejudice. To make this case, I draw on case studies of online attempts to challenge ignorance. While the problems of testimonial injustice, defensi... (shrink)

Real engines of the artificial intelligence revolution, machine learning models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a phronetic paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In (...) this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo’s concept of “e-trust,” we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs. (shrink)

How may human agents come to trust artificial agents? At present, since the trust involved is non-normative, this would seem to be a slow process, depending on the outcomes of the transactions. Some more options may soon become available though. As debated in the literature, humans may meet bots as they are embedded in an institution. If they happen to trust the institution, they will also trust them to have tried out and tested the machines in their back corridors; as (...) a consequence, they approach the robots involved as being trustworthy. Properly speaking, users rely on the overall accountability of the institution. Besides this option we explore some novel ways for trust development: trust becomes normatively laden and thereby the mechanism of exclusive reliance on the normative force of trust may come into play - the efficacy of which has already been proven for persons meeting face-to-face or over the Internet. For one thing, machines may evolve into moral machines, or machines skilled in the art of deception. While both developments might seem to facilitate proper trust and turn as-if trust into a feasible option, they are hardly to be taken seriously. For another, the new trend in robotics is towards coactivity between human and machine operators in a team. Inside the team trust is a necessity for smooth operations. In support of this, humans in particular need to be able to develop and maintain accurate mental models of their machine counterparts. Nevertheless, the trust involved is bound to remain non-normative. It is argued, though, that excellent opportunities exist to build relations of trust toward outside users who are pondering their reliance on the coactive team. The task of managing this trust has to be allotted to human operators of the team, who operate as linking pin between the outside world and the team. Since the robotic team has now been turned into an anthropomorphic team, users may well develop normative trust towards them; correspondingly, trusting the team in as-if fashion becomes feasible. (shrink)

In this paper, I will identify two problems of trust in an AI-relevant context: a theoretical problem and a practical one. I will identify and address a number of skeptical challenges to an AI-relevant theory of trust. In addition, I will identify what I shall term the ‘scope challenge’, which I take to hold for any AI-relevant theory of trust that purports to be representationally adequate to the multifarious forms of trust and AI. Thereafter, I will suggest how trust-engineering, a (...) position that is intermediate between the modified pure rational-choice account and an account that gives rise to trustworthy AI, might allow us to address the practical problem of trust, before identifying and critically evaluating two candidate trust-engineering approaches. (shrink)

In this paper, I examine a key issue affecting trust in the context of a computing environment, as it affects human agents and artificial agents. Specifically, the paper focuses on the role that "resource conservation" plays in an analysis of moral trust and epistemic trust involving agents. I will argue that resource conservation is a necessary condition in the definition of a moral trust relation, that there is a conceptual relationship between a moral trust relation and epistemic trust---that epistemic trust (...) is a necessary condition for moral trust---, and that a moral trust relation might provide a basic mechanism for the realization of ecological rationality in human agents. (shrink)

The Ninth International Conference on Computer Ethics: Philosophical Enquiry was held in Milwaukee, WI. Four papers originally presented at that conference are included in this issue of Computers and Society. The selected papers examine a wide range of information/computer-ethics-related issues, and taken together, they show great diversity in the field of information/computer ethics. We are continually negotiating with ethics, law, and policy in our technology-driven activities in the interconnected global arena. As we consider the themes within and among the papers (...) here, we encourage readers to think deeply about fundamental principles such as trust, accountability, anonymity, and human rights. Each of these papers takes us back, philosophically, to seminal and long-standing principles of ethics, broadly speaking, and then, brings us forward, to significant and contemporary challenges in ethics. The authors each weave narratives about our place and space as individuals, as members of cultural collectives, and evolving socio-political-technical norms around us, governing us, defining us. (shrink)