A summary of the philosophical literature on trust.

Sometimes an individual gets taken as speaking for a wider group without laying claim to any such authority – they are thrust unwillingly, and sometimes even unknowingly, into the role of that grou...

An increasingly popular solution to the anti-scientific climate rising on social media platforms has been the appeal to more critical thinking from the user's side. In this paper, we zoom in on the ideal of critical thinking and unpack it in order to see, specifically, whether it can provide enough epistemic agency so that users endowed with it can break free from enclosed communities on social media (so called epistemic bubbles). We criticise some assumptions embedded in the ideal of critical (...) thinking online and, instead, we propose that a better way to understand the virtuous behaviour at hand is as critical engagement, namely a mutual cultivation of critical skills among the members of an epistemic bubble. This mutual cultivation allows members within an epistemic bubble (in contrast, as we will show, with the authority-based models of epistemic echo chambers) to become more autonomous critical thinkers by cultivating self-trust. We use the model of relational autonomy as well as resources from work on epistemic self-trust and epistemic interdependence to develop an explanatory framework, which in turn may ground rules for identifying and creating virtuous epistemic bubbles within the environments of social media platforms. (shrink)

Democratic legitimacy is often grounded in proceduralist terms, referring to the ideal of political equality that should be mirrored by fair procedures of decision-making. The paper argues (§1) that the normative commitments embedded in a non-minimalist account of procedural legitimacy are well expressed by the ideal of co-authorship. Against this background, the main goal of the paper is to argue that structural forms of epistemic injustice are detrimental to the overall legitimacy of democratic systems. In §2 I analyse Young’s notion (...) of political powerlessness and claim that in structurally unjust social contexts members of powerless groups often are not properly acknowledged as functioning members of the polity, hence being jeopardized in their ability to develop part of their personal identity. In §III, I define gerrymandering as an example of political disempowerment that involves an epistemic harm for oppressed citizens, namely, to be prejudicially excluded from the community of epistemic trust. My thesis is that being epistemically disempowered has a negative impact on the way in which citizens understand themselves as political actors, since they suffer a lack of social recognition that may impede a proper development of their reflexive agency. In §IV, I discuss the proposal of granting epistemic privilege to members of oppressed groups, given their specific experience of social injustices. I introduce two concerns about this proposal, one morally grounded and one pragmatically oriented. Finally, in §V, I briefly sketch some institutional remedies that can be employed in order to politically fight systemic forms of epistemic injustice. (shrink)

Discussions of virtue signaling to date have focused exclusively on the signaling of the moral virtues. This article focuses on intellectual virtue signaling: the status-seeking advertising of supposed intellectual virtues. Intellectual virtue signaling takes distinctive forms. It is also far more likely to be harmful than moral virtue signaling, because it distracts attention from genuine expertise and gives contrarian opinions an undue prominence in public debate. The article provides a heuristic by which to identify possible instances of intellectual virtue signaling. (...) When people with no relevant expertise rapidly move to offer their opinions on a wide range of topics as soon as these topics become fashionable or newsworthy, and especially when these opinions are contrarian, we should suspect them of intellectual virtue signaling. (shrink)

Journal of Social Philosophy, EarlyView.

Much of the literature concerning epistemic injustice has focused on the variety of harms done to socially marginalized persons in their capacities as potentialcontributorsto knowledge projects. However, in order to understand the full implications of the social nature of knowing, we must confront the circulation of knowledge and the capacity of epistemic agents to take up knowledge produced by others and make use of it. I argue that members of socially marginalized lay communities can sufferepistemic trust injusticeswhen potentially powerful forms (...) of knowing such as scientific understandings are generated in isolation from them, and when the social conditions required for aresponsibly-placed trustto be formed relative to the relevant epistemic institutions fail to transpire. (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 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)

Where there is trust, there is also vulnerability, and vulnerability can be exploited. Epistemic trust is no exception. This chapter maps the phenomenon of the exploitation of epistemic trust. I start with a discussion of how trust in general can be exploited; a key observation is that trust incurs vulnerabilities not just for the party doing the trusting, but also for the trustee (after all, trust can be burdensome), so either party can exploit the other. I apply these considerations to (...) epistemic trust, specifically in testimonial relationships. There, we standardly think of a hearer trusting a speaker. But we miss an important aspect of this relationship unless we consider too that the speaker standardly trusts the hearer. Given this mutual trust, and given that both trustees and trusters can exploit each other, we have four possibilities for exploitation in epistemic-trust relationships: a speaker exploiting a hearer (a) by accepting his trust or (b) by imposing her trust on him, and a hearer exploiting a speaker (c) by accepting her trust or (d) by imposing his trust on her. One result is that you do not need to betray someone to exploit him – you can exploit him just as easily by doing what he trusts you for. (shrink)