AbstractSimion and Kelp offer a prima facie very promising account of trustworthy AI. One benefit of the account is that it elegantly explains trustworthiness in the case of cancer diagnostic AIs, which involve the acquisition by the AI of a representational etiological function. In this brief note, I offer some reasons to think that their account cannot be extended — at least not straightforwardly — beyond such cases (i.e., to cases of AIs with non-representational etiological functions) without incurring the unwanted (...) cost of overpredicting untrustworthiness. (shrink)

Does trust play a significant role in the appreciation of art? If so, how does it operate? We argue that it does, and that the mechanics of trust operate both at a general and a particular level. After outlining the general notion of ‘art-trust’—the notion sketched is consistent with most notions of trust on the market—and considering certain objections to the model proposed, we consider specific examples to show in some detail that the experience of works of art, and the (...) attribution of art-relevant properties or characterisations to works of art, very often involves the notion of trust; in such cases—perhaps most or even, implicitly, all—the question ‘Do I trust the artist (or art-maker)?’, is inescapable. (shrink)

Abstract: There are epistemic manipulators in the world. These people are actively attempting to sacrifice epistemic goods for personal gain. In doing so, manipulators have led many competent epistemic agents into believing contrarian theories that go against well-established knowledge. In this paper, I explore one mechanism by which manipulators get epistemic agents to believe contrarian theories. I do so by looking at a prominent empirical model of trustworthiness. This model identifies three major factors that epistemic agents look for when trying (...) to determine who is trustworthy. These are (i) ability, (ii) benevolence, and (iii) moral integrity. I then show how manipulators can manufacture the illusion that they possess these factors. This leads epistemic agents to view manipulators as trustworthy sources of information. Additionally, I argue that fact-checking will be an ineffective – or even harmful – practice when correcting the beliefs of epistemic agents who have been tricked by this illusion of epistemic trustworthiness. I suggest that in such cases we should use an alternative correction, which I call trust undercutting. (shrink)

Demokratien geraten zunehmend unter Druck. Dabei wird die Bedeutung von Demokratie selbst zum Gegenstand der Auseinandersetzung. Diese Auseinandersetzungen nimmt der vorliegende Band zum Anlass, die Bedeutung von Demokratie grundsätzlich zu untersuchen. Mit dem Begriff der Konstituenzien sind dabei jene wesentlichen Bedingungen gemeint, die Demokratie ausmachen. Die meisten dieser Bedingungen sind normativ. Was Demokratie ist, wird auch und gerade dadurch bestimmt, was Demokratie sein sollte. Damit geht es um jene Normen, deren Verwirklichung politische Praktiken zu demokratischen Praktiken macht. Sind diese Normen (...) nur eingeschränkt verwirklicht, mindert sich der demokratische Gehalt von Politik. Inwieweit ist dann nun aber eigentlich der Fall? Und was können wir dagegen tun? Antworten auf diese Fragen geben einschlägige Vertreterinnen und Vertreter aus Philosophie, Politik- und Rechtswissenschaft. (shrink)

A summary of the philosophical literature on trust.

Are we being manipulated online? If so, is being manipulated by online technologies and algorithmic systems notably different from human forms of manipulation? And what is under threat exactly when people are manipulated online? This volume provides philosophical and conceptual depth to debates in digital ethics about online manipulation. The contributions explore the ramifications of our increasingly consequential interactions with online technologies such as online recommender systems, social media, user-friendly design, micro-targeting, default-settings, gamification, and real-time profiling. The authors in this (...) volume address four broad and interconnected themes: • What is the conceptual nature of online manipulation? And how, methodologically, should the concept be defined? • Does online manipulation threaten autonomy, freedom, and meaning in life, and if so, how? • What are the epistemic, affective, and political harms and risks associated with online manipulation? • What are legal and regulatory perspectives on online manipulation? The Philosophy of Online Manipulation brings these various considerations together to offer philosophically robust answers to critical questions concerning our online interactions with one another and with autonomous systems. It will be of interest to researchers and advanced students working in moral philosophy, digital ethics, philosophy of technology, and the ethics of manipulation. (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)

Overconfidence is typically damaging to one’s reputation as a trustworthy source of information. Previous research shows that the reputational cost associated with conveying a piece of false information is higher for confident than unconfident speakers. When judging speaker trustworthiness, individuals do not exclusively rely on past accuracy but consider the extent to which speakers expressed a degree of confidence that matched the accuracy of their claims (their “confidence-accuracy calibration”). The present study experimentally examines the interplay between confidence, accuracy and a (...) third factor, namely evidence, in the assessment of speaker trustworthiness. Experiment 1 probes the hypothesis that overconfidence does not backfire when a confident but inaccurate claim is justified: the trustworthiness of a confident speaker who turns out to be wrong is restored if the confidence expressed is based on strong evidence (good confidence-evidence calibration). Experiment 2 investigates the hypothesis that confidence can backfire if a confident and accurate claim is not justified: the trustworthiness of a confident speaker who turns out to be right is damaged if the confidence expressed is based on weak evidence (bad confidence-evidence calibration). Our results support both hypotheses and thus suggest that “confidence-evidence calibration” plays a crucial role in the assessment of speaker trustworthiness. (shrink)

The present study investigated whether humans are more likely to trust people who are coordinated with them. We examined a well-known type of linguistic coordination, lexical entrainment, typically involving the elaboration of “conceptual pacts,” or partner-specific agreements on how to conceptualize objects. In two experiments, we manipulated lexical entrainment in a referential communication task and measured the effect of this manipulation on epistemic and practical trust. Our results showed that participants were more likely to trust a coordinated partner than an (...) uncoordinated one, but only when the latter broke previously established conceptual pacts. (shrink)

Argumentation is important for sharing knowledge and information. Given that the receiver of an argument purportedly engages first and foremost with its content, one might expect trust to play a negligible epistemic role, as opposed to its crucial role in testimony. I argue on the contrary that trust plays a fundamental role in argumentative engagement. I present a realistic social epistemological account of argumentation inspired by social exchange theory. Here, argumentation is a form of epistemic exchange. I illustrate my argument (...) with two real-life examples: vaccination hesitancy, and the undermining of the credibility of traditional sources of information by authoritarian politicians. (shrink)

Not every speech act can be a lie. A good definition of lying should be able to draw the right distinctions between speech acts that can be lies and speech acts that under no circumstances are lies. This paper shows that no extant account of lying is able to draw the required distinctions. It argues that a definition of lying based on the notion of ‘assertoric commitment’ can succeed where other accounts have failed. Assertoric commitment is analysed in terms of (...) two normative components: ‘accountability’ and ‘discursive responsibility’. The resulting definition of lying draws all the desired distinctions, providing an intensionally adequate analysis of the concept of lying. (shrink)

The paper presents an ethical analysis and constructive critique of the current practice of AI ethics. It identifies conceptual substantive and procedural challenges and it outlines strategies to address them. The strategies include countering the hype and understanding AI as ubiquitous infrastructure including neglected issues of ethics and justice such as structural background injustices into the scope of AI ethics and making the procedures and fora of AI ethics more inclusive and better informed with regard to philosophical ethics. These measures (...) integrate the perspective of AI justice into AI ethics, strengthening its capacity to provide comprehensive normative orientation and guidance for the development and use of AI that actually improves human lives and living together. (shrink)

Moral enhancement proposals struggle to be both plausible and ethically defensible while nevertheless interestingly distinct from both cognitive enhancement as well as (mere) moral education. Brian Earp (_Royal Institute of Philosophy Supplement_ 83:415–439, 12 ) suggests that a promising middle ground lies in focusing on the (suitably qualified) use of psychedelics as _adjuncts_ to moral development. But what would such an adjunctive use of psychedelics look like in practice? In this paper, I draw on literature from three areas where techniques (...) for moral development have been discussed: psychotherapy (e.g., Overholser 2010; Burns 1980) education (e.g., Uhl and Lütge, 2018), and AI-assisted enhancement (e.g., Lara and Deckers, _Neuroethics_ 13(3):275–287, 17 ) in order to propose more concrete ways in which to use psychedelics as adjuncts to moral development. It is shown that in each of these areas, we can see that _trusting_ relationships (e.g., Baier 1986; Hawley 2019) between the facilitator and the agent will very plausibly maximize the success of this type of moral enhancement. Finally, I appeal to literature on informed consent for use of psychedelics (e.g., Smith and Sisti, _Journal of Medical Ethics_, 22 ; Johnson et al., _The Journal of Psychopharmacology_ 22(6):603–20, 23 ) and on the therapeutic relationship in psychotherapy (e.g., Dryden and Reeves 2013; Horvath et al. 2011) to outline concrete suggestions for facilitating dimensions of trust most likely to maximize the benefits of (adjunctive) psychedelic moral enhancement. The result is a newly detailed practical proposal for how we might best facilitate moral enhancement by using drugs as adjuncts to moral development. (shrink)

In our interactions with science, we are often vulnerable; we do not have complete control of the situation and there is a risk that we, or those we love, might be harmed. This is not an emotionall...

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)

Trustworthiness is typically regarded as a desirable feature of national identification systems (NISs); but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally trustworthy to all actual and potential trustors. This worry is accentuated by common theoretical accounts of trustworthiness. According to such accounts, trustworthiness is relativized to particular individuals and particular areas of activity, such that one can be trustworthy with regard to some individuals in (...) respect of certain matters, but not trustworthy with regard to all trustors in respect of every matter. The present article challenges this relativistic approach to trustworthiness by outlining a new account of trustworthiness, dubbed the expectation-oriented account. This account allows for the possibility of an absolutist (or one-place) approach to trustworthiness. Such an account, we suggest, is the approach that best supports the effort to develop NISs. To be trustworthy, we suggest, is to minimize the error associated with trustor expectations in situations of social dependency (commonly referred to as trust situations), and to be trustworthy in an absolute sense is to assign equal value to all expectation-related errors in all trust situations. In addition to outlining the features of the expectation-oriented account, we describe some of the implications of this account for the design, development, and management of trustworthy NISs. (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)

According to some philosophers and social scientists, mainstream economic theories currently play an unprecedented role in shaping human societies. This phenomenon can be linked to the dissemination of methodological individualism, where common goods are interpreted as reducible to aggregates of individuals' well-being. Nonetheless, some emergent difficulties of economics in coping with global institutional issues have encouraged some authors to revise that paradigm. In the last three decades, there has been a parallel growing philosophical interest in investigating social sciences' epistemological and (...) ontological foundations. Unfortunately, these two research trends have often not communicated systematically enough to understand the specific ontology of collective aims. It is still unclear whether some irreducible social goods exist and how the answer to this question can set up a consistent understanding of cooperative actions. This dissertation addresses this issue, drawing on philosophical investigations about collective intentionality. It claims that a coherent ontological taxonomy of irreducible and reducible social goods is theoretically viable and can reframe prevailing approaches to collective action dilemmas influenced by the traditional economic categorisation of goods. The research begins by analysing how the influential theory of public goods has paved the way for some social and moral impasses. Furthermore, some theoretical proposals suggesting the existence of relational goods and common-pool resources are scrutinised. Hence, a refutation of the ontological reduction of all social goods to individual ones is developed, arguing that a specific form of cooperation, grounded in we-intentions and we-reasoning, shows the plausibility of the existence of some kinds of irreducible collective goods. Expanding on that view, a refinement of this categorisation of social goods is put forward by underlying the function of some relational entities, such as trust and shared sensemaking processes, in making cooperation robust in uncertain environments. Finally, by applying the taxonomy to collective action gridlocks regarding climate change, digital information, and public education, the consistency of this hypothesis is tested, showing that a pluralistic ontological account of social goods might improve the moral understanding of current social dilemmas. (shrink)