One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...) human relationships, so proposing that AI should be trusted, is a very serious claim. This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust. While AI meets all of the requirements of the rational account of trust, it will be shown that this is not actually a type of trust at all, but is instead, a form of reliance. Ultimately, even complex machines such as AI should not be viewed as trustworthy as this undermines the value of interpersonal trust, anthropomorphises AI, and diverts responsibility from those developing and using them. (shrink)

The aim of this paper is to better qualify the problem of online trust. The problem of online trust is that of evaluating whether online environments have the proper design to enable trust. This paper tries to better qualify this problem by showing that there is no unique answer, but only conditional considerations that depend on the conception of trust assumed and the features that are included in the environments themselves. In fact, the major issue concerning traditional debates surrounding online (...) trust is that those debates focus on specific definitions of trust and specific online environments. Ordinarily, a definition of trust is assumed and then environmental conditions necessary for trust are evaluated with respect to such specific definition. However, this _modus operandi_ fails to appreciate that trust is a rich concept, with a multitude of meanings and that there is still no strict consensus on which meaning shall be taken as the proper one. Moreover, the fact that online environments are constantly evolving and that new design features might be implemented in them is completely ignored. In this paper, the richness of the philosophical discussions about trust is brought into the analysis of online trust. I first provide a set of conditions that depend on the definition of trust that can be assumed and then discuss those conditions with respect to the design of online environments in order to determine whether they can enable (and under which circumstances) trust. (shrink)

I argue that while every betrayal is a breach of trust, not every breach of trust is a betrayal. I defend a conception of trust as primarily a feature of behaviour (i.e. trusting behaviour) and only secondarily a feature of a mental attitude. So it is possible to have the attitude of distrust towards someone while still trusting them in the way you behave. This makes sense of the possibility of Judas Iscariot breaching Jesus’ trust, and so betraying him, even (...) though Jesus presumably knew that Judas would do just that. This conception of trust may be spelt out in terms of making oneself reliant on somebody in a collaboration with them. Such collaborations include relationships like friendships and love affairs, as well as political activities or defending one’s country against aggression. I argue that only when these collaborations involve a commitment to loyalty is a breach of trust a betrayal. And loyalty is a feature of those collaborations or relationships that exclude others – us/them collaborations. (shrink)

I argue that while every betrayal is a breach of trust, not every breach of trust is a betrayal. I defend a conception of trust as primarily a feature of behaviour (i.e. trusting behaviour) and only secondarily a feature of a mental attitude. So it is possible to have the attitude of distrust towards someone while still trusting them in the way you behave. This makes sense of the possibility of Judas Iscariot breaching Jesus’ trust, and so betraying him, even (...) though Jesus presumably knew that Judas would do just that. This conception of trust may be spelt out in terms of making oneself reliant on somebody in a collaboration with them. Such collaborations include relationships like friendships and love affairs, as well as political activities or defending one’s country against aggression. I argue that only when these collaborations involve a commitment to loyalty is a breach of trust a betrayal. And loyalty is a feature of those collaborations or relationships that exclude others – us/them collaborations. (shrink)

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

This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...) and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front. (shrink)

Trust is relevant to discussions across a range of areas in philosophy, including social epistemology, ethics, political theory, and action theory. It’s also the sort of thing that tends to matter a lot in our personal lives. We want romantic partners, friends, employers, and others to trust us. I argue that trust requires belief on the part of the trustor in the competence of the trustee to perform the relevant action, as well as the trustor's approval of what she believes (...) is the will of the trustee to perform that action, where that action is something about which the trustor cares. (shrink)

In “Robots, Trust and War” Simpson claims that victory in counter-insurgency conflicts requires that military forces and their governing body win the ‘hearts and minds’ of civilians. Consequently, forces made up primarily of autonomous robots would be ineffective in these conflicts for two reasons. Firstly, because civilians cannot rationally trust them because they cannot act from a motive based on good character. If they ever did develop this capacity then the purpose of sending them to war in our stead would (...) be lost because there would be no moral saving. Secondly, because if robot forces did offer a moral saving then this would signal that the deploying government could not be trusted to be committed to the conflict. I disagree with both claims. I argue firstly that there are less demanding grounds that could allow robot forces to be trusted sufficiently to be effective whilst still achieving a moral saving over the deployment of human ones. Secondly, that this moral saving would not necessarily signal that the deploying body lacked commitment because its interpretation would be highly context-dependent. I conclude therefore, contra-Simpson, that robot forces could plausibly be effective in counter-insurgency engagements in the foreseeable future. I suggest therefore that there may be a case for developing a more finely grained understanding of the opportunities for, and challenges of, their use. (shrink)

Philosophical Psychology is dedicating this issue on trust and trustworthiness to Katherine Hawley (1971–2021) for two reasons. First, she was an expert in the area. Hawley was one of the most rele...

Philosophy and Phenomenological Research, Volume 104, Issue 1, Page 150-170, January 2022.

A widespread assumption in debates about trust and trustworthiness is that the evaluative norms of principal interest on the trustor’s side of a cooperative exchange regulate trusting attitudes and performances whereas those on the trustee’s side regulate dispositions to respond to trust. The aim here will be to highlight some unnoticed problems with this asymmetrical picture – and in particular, how it elides certain key evaluative norms on both the trustor’s and trustee’s side the satisfaction of which are critical to (...) successful cooperative exchanges – and to show that a symmetrical, ‘achievement-first’ approach to theorising about trust and trustworthiness (and their relation to each other) has important advantages by comparison. The view I develop is guided by a structural analogy with practical reasoning. Just as practical reasoning is working as it should only when there is realisation (knowledge and action) of states (belief and intention) with reverse directions of fits (mind-to-world and world-to-mind), likewise, cooperation between trustor and trustee is functioning as it should only when there is an analogous kind of realisation on both sides of the cooperative exchange – viz., when the trustor ‘matches’ her achievement in trusting (an achievement in fitting reliance to reciprocity) with the trustee’s achievement in responding to trust (an achievement in fitting reciprocity to reliance). An upshot of viewing cooperation between trustor and trustee as exhibiting achievement-theoretic structure is that we will be better positioned to subsume trustworthiness (and its cognates on the trustee’s side), like trust, under a wider suite of evaluative norms that regulate attempts, dispositions, and achievements symmetrically on both sides of a cooperative exchange, with ‘matching achievements’ as the gold standard. (shrink)

Persuasive design draws on our basic psychological makeup to build products that make our engagement with them habitual. It uses variable rewards, creates Fear of Missing Out, and leverages social approval to incrementally increase and maintain user engagement. Social media and networking platforms, video games, and slot machines are all examples of persuasive technologies. Recent attention has focused on the dangers of PD: It can deceptively prod users into forming habits that help the company’s bottom line but not the user’s (...) wellbeing. But PD is not inherently immoral. We can take advantage of our psychological biases to make beneficial changes in ways that enhance our agency rather than limit it. Knowing that a tool is persuasively designed is a consideration in favor of using it when we are trying to break bad habits, such as smoking. How are we to conceptually distinguish between ethical and unethical uses of PD? In this paper, I argue that unethical uses of PD betray or erode our trust. Annette Baier offers a moral test for trust: If gaining knowledge about what other parties do with our trust in them would lead us to stop trusting, then that trusting relationship is immoral. I apply this test to the case of PD. Using trust as a litmus test for ferreting out unethical PD has several advantages, one of which is that it reveals how the harm of unethical PD extends beyond the individual to her wider social network. I close the paper by investigating these cascading effects. (shrink)

Trust is critical for social life, and yet it is alarmingly fragile. It is easily damaged and difficult to repair. Philosophers studying trust have often noted that basic kind of trust needs to be in place in order for social life to be possible. Although philosophers have suggested that basic trust must exist, they have not tried to describe in explicit terms what this basic trust looks like, or how it comes to be. In this article I will identify and (...) describe a basic form of trust that I call recognition trust. It is a latent expectation we have in others to respect our moral status as persons. By conceptualizing recognition trust, I can explain why trust is not just a useful tool for social cooperation: having our personhood recognized is necessary for living a minimally decent human life, and trust is a necessary element of recognition. First, I motivate the need for conceptualizing a basic form of trust by looking at cases of moral injury and our inherent vulnerability. Such injuries involve the betrayal of an expectation we have in others to recognize us as persons with moral status. Second, I dig deeper into this basic human need of recognition that is thwarted in moral injuries. I argue that fulfilling this basic need requires a particular kind of trust that others will not morally injure us. Third, I give shape to recognition trust by describing its core features, showing why it is a candidate for basic trust. Finally, I defend my concept of recognition trust against a pair of objections. (shrink)

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

What do we expect of those whom we trust? Some argue that when we trust we are confident the trusted will act on moral motivations. But often we trust without appraising the trusted’s moral qualiti...

ABSTRACT This article advances a novel way of understanding humor and stand-up comedy. I propose that the relationship between the comedian and her audience is understood by way of trust, where the comedian requires the trust of her audience for her humor to succeed. The comedian may hold the trust of the audience in two domains. She may be trusted as to the form of the humor, such as whether she is joking. She may also be trusted as to the (...) content of the joke. This approach has two distinct virtues. The first is that it makes sense of partial successes. These are cases where the humor neither completely succeeds nor fails because the audience does not fully trust the comedian. The second is that it explains intuitions about ethically dubious humor and why certain classes of humor, especially those dealing in racialized and gendered identities, are more readily accepted from humorists of those identities. (shrink)

Trust is a topic of longstanding philosophical interest. It is indispensable to every kind of coordinated human activity, from sport to scientific research. Even more, trust is necessary for the successful dissemination of knowledge, and by extension, for nearly any form of practical deliberation and planning. Without trust, we could achieve few of our goals and would know very little. Despite trust’s fundamental importance in human life, there is substantial philosophical disagreement about what trust is, and further, how trusting is (...) normatively constrained and best theorized about in relation to other things we value. This entry is divided into three sections, which explore key (and sometimes interconnected) ethical and epistemological themes in the philosophy of trust: (1) The Nature of Trust; (2) The Normativity of Trust, and (3) The Value of Trust. (shrink)

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