It is often claimed that social media accelerate political extremism by employing personalization algorithms that filter users into groups with homogenous beliefs. While an intuitive position, recent research has shown that social media users exhibit self-filtering tendencies. In this paper, I apply Hannah Arendt’s theory of political judgment to hypothesize a cause for self-filtering on social media. According to Arendt, a crucial step in political judgment is the imagination of a general standpoint of distinct yet equal perspectives, against which individuals (...) compare their own judgments in order to test their defensibility. I argue that social media inhibit this step by gamifying the pursuit of social status, which encourages users to consider the perspectives of others not for the sake of a general standpoint but for the sake of improving their social status, resulting in self-filtering. Consequently, ameliorating political extremism on social media requires not just reforming the algorithms that deliver content to users, but the interfaces on which users present their social identities. (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)

The novice/expert problem is the problem of knowing which apparent expert to trust. Following Alvin Goldman’s lead, a number of philosophers have developed criteria that novices can use to distinguish more from less trustworthy experts. While the criteria the philosophers have identified are indeed useful in guiding expert choice, I argue, they can’t do the work that Goldman and his successors want from them: avoid a kind of testimonial scepticism. We can’t deploy them in the way needed to avoid such (...) scepticism, because it would take genuine expertise to do so. I argue that attempts to deploy them in this sort of deep way involve a kind of transgression akin to, and at least as unreliable as, epistemic trespassing. We should give up trying to solve the novice/expert problem and instead promote better epistemic trust. (shrink)

Could the employment of large language models (LLMs) in place of human advisors improve the problem-solving ability of democratic assemblies? LLMs represent the most significant recent incarnation of artificial intelligence and could change the future of democratic governance. This paper assesses their potential to serve as expert advisors to democratic representatives. While LLMs promise enhanced expertise availability and accessibility, they also present specific challenges. These include hallucinations, misalignment and value imposition. After weighing LLMs’ benefits and drawbacks against human advisors, I (...) argue that time-tested democratic procedures, such as deliberation and aggregation by voting, provide safeguards that are effective against human and machine advisor shortcomings alike. Additional protective measures may include custom training for advisor LLMs or boosting representatives’ competencies in query formulation. Implementation of adversarial proceedings in which LLM advisors would debate each other and provide dissenting opinions is likely to yield further epistemic benefits. Overall, promising interventions that would mitigate the LLM risks appear feasible. Machine advisors could thus empower human decision-makers to make more autonomous, higher-quality decisions. On this basis, I defend the hypothesis that LLMs’ careful integration into policymaking could augment democracy’s ability to address today’s complex social problems. (shrink)

Amid the growing interest in the relationship between technology and human flourishing, philosophical perfectionism can serve as a fruitful lens through which to normatively evaluate technology. This paper offers an analytic framework that explains the relationship between technology and flourishing by way of innate human capacities. According to perfectionism, our human flourishing is determined by how well we exercise our human capacities to know, create, be sociable, use our bodies and exercise the will, by engaging in activities that ultimately produce (...) valuable output. The paper introduces technology affordances to this framework, to show how affordances enable or restrict the exercise of human capacities, thereby impacting levels of human flourishing. One implication of this analysis is that it highlights how technology affordances can cause the privation (absence) of flourishing, by impoverishing capacities. The upshot is that privation may bring about robustly bad unflourishing, especially given that technology and its affordances have the power to degrade the human capacities in the long run. By linking how human capacities are shaped by affordances, we can achieve a better understanding of the ethical implications of technology on human flourishing. (shrink)

Virtue signaling—using public moral discourse to enhance one’s moral reputation—is a familiar concept. But, what about profile pictures framed by “Vaccines work!”? Or memes posted to anti-vaccine groups echoing the group’s view that “Only sheep believe Big Pharma!”? These actions don’t express moral views—both claims are empirical (if imprecise). Nevertheless, they serve a similar purpose: to influence the judgments of their audience. But, where rainbow profiles guide their audience to view the agent as morally good, these acts guide their audience (...) to view the agent as epistemically good. They are instances of epistemic virtue signaling. The first goal of this paper is to offer an account of epistemic virtue signaling. I argue that epistemic virtue signaling occurs through both behavioral and propositional signals, and serves purposes similar to those of moral virtue signaling across a wide variety of discourses. The second is to show that there is much work for this concept to do. In particular, this concept illuminates a double bind faced by those who suffer from and seek to overcome testimonial injustice. I close by demonstrating how this double bind arises in the dissolution of medical autonomy, focusing on the care gap faced by pregnant women of color in the United States today, as compared with their white counterparts. (shrink)

The debate on whether and why misinformation is bad primarily focuses on the spread of false beliefs as its main harm. From the assumption that misinformation primarily causes harm through the spread of false beliefs as a starting point, it has been contended that the problem of misinformation has been exaggerated. Its tendency to generate false beliefs appears to be limited. However, the near-exclusive focus on whether or not misinformation dupes people with false beliefs neglects other epistemic harms associated with (...) it. Specifically, I show that misinformation also causes trouble for the epistemic goods of truth attainment, intellectual autonomy and debate pluriformity. Moreover, for each of these goods, I argue that emphasizing error-avoidance exacerbates, rather than mitigates, the harms caused by misinformation. These oversights and dilemmas show that prioritizing error-avoidance in the fight against misinformation is not a neutral default policy or necessarily a net positive. A shift in focus away from the spread of false beliefs as the main harm of misinformation is needed to better understand and counter its negative effects. (shrink)

With focus on the development and use of artificial intelligence (AI) systems in the digital health context, we consider the following questions: How does the European Union (EU) seek to facilitate the development and uptake of trustworthy AI systems through the AI Act? What does trustworthiness and trust mean in the AI Act, and how are they linked to some of the ongoing discussions of these terms in bioethics, law, and philosophy? What are the normative components of trustworthiness? And how (...) do the requirements of the AI Act relate to these components? We first explain how the EU seeks to create an epistemic environment of trust through the AI Act to facilitate the development and uptake of trustworthy AI systems. The legislation establishes a governance regime that operates as a socio-epistemological infrastructure of trust which enables a performative framing of trust and trustworthiness. The degree of success that performative acts of trust and trustworthiness have achieved in realising the legislative goals may then be assessed in terms of statutorily defined proxies of trustworthiness. We show that to be trustworthy, these performative acts should be consistent with the ethical principles endorsed by the legislation; these principles are also manifested in at least four key features of the governance regime. However, specified proxies of trustworthiness are not expected to be adequate for applications of AI systems within a regulatory sandbox or in real-world testing. We explain why different proxies of trustworthiness for these applications may be regarded as ‘special’ trust domains and why the nature of trust should be understood as participatory. (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...

This paper examines the epistemic value of other-regarding epistemic virtues, challenging the common view that these virtues are primarily moral in nature. To this end, it proposes a new framework to explain the role of epistemic virtues: the Epistemic Social Environment (ESE). It is argued that the value of an epistemic virtue stems from its contribution to a healthy ESE. This approach enables a broader and unified theory of epistemic virtues, emphasising their role in the communal production of knowledge. Ultimately, (...) the paper aims to reconcile virtue epistemology with insights from social epistemology, offering a comprehensive account of the epistemic value of sharing knowledge. (shrink)

In vice epistemology, bad epistemic outcomes, such as maintaining false beliefs, are interpreted as indicators of blameworthy irrationality. Conversely, a growing trend in philosophical psychology advocates for environmentalist explanations, suggesting these outcomes emerge because rational cognitive processes of faultless individuals falter due to polluted environmental inputs. Building on concrete examples, I first offer a systematic analysis of the relative explanatory merits of that environmentalist project. I then use this analysis to advance the rationality debate, which has recently been identified as (...) stagnating due to an observational equivalence between environmentalist and vice accounts. Although the conceptual imprecision of vice epistemology has frequently been critiqued, the framework developed here reveals that environmentalism is (also) unable to meet various theoretical desiderata. I show why this is so and argue that, to make progress, environmentalism needs a more substantive conception of epistemic rationality. To this end, I propose that a closer engagement with questions of cognitive agency – how rational creatures can “make up” their minds about what to believe – could enable the necessary progress. (shrink)