







Synthese - In this paper, I develop and defend the concept epistemic assholes. An epistemic asshole is someone who exhibits a distinctive form of epistemic badness characterized not by gross...
On the epistemic structure of voluntary servitude in the infosphere
This paper introduces the concept of Voluntary Epistemic Servitude (VES) to describe a social-epistemic pathology generated by the contemporary infosphere. Drawing on Étienne de La Boétie’s Discours de la Servitude Volontaire as a theoretical resource, we argue that algorithmic systems produce conditions in which agents not only delegate their core belief-forming processes to nontransparent architectures but come to prefer and actively reproduce this delegation through social mechanisms structurally isomorphic to those La Boétie identified in political tyranny. We show that VES is irreducible to existing social-epistemic categories such as epistemic injustice (Fricker 2007), epistemic bubbles and echo chambers (Nguyen 2020), and veritistic failure (Goldman 1999) because it operates at the level of epistemic preference formation rather than credibility attribution or informational access. The paper identifies a preference-laundering mechanism by which algorithmic systems colonize the second-order epistemic desires of agents, thereby undermining the conditions of epistemic autonomy that social epistemology has largely presupposed. We further develop a precise account of reflective access that distinguishes algorithmic opacity from ordinary preference opacity, introduce the concept of epistemic counterfactual capacity with a modal analysis connecting it to Williamson’s (2000) safety condition, situate VES as a structurally induced epistemic vice (Cassam 2019) and a form of misaligned extended cognition (Clark and Chalmers 1998), and provide a typology of three algorithmic architectures through which VES operates. We conclude by stating an explicit normative bridge principle and drawing on La Boétie’s positive ideal of free horizontal epistemic bonds to sketch the preconditions for epistemic liberation in algorithmically mediated environments.
Free Speech on the Internet: The Crisis of Epistemic Authority
Abstract. Much of our knowledge of the world comes not from direct sensory experience, but from reliance on epistemic authorities: individuals or institutions that tell us what we ought to believe. For example, what most of us believe about natural selection, climate change, or the Holocaust comes from our reliance on epistemic authorities (scientists, historians). Sustaining epistemic authority depends, crucially, on social institutions that inculcate reliable second-order norms about whom to believe about what. The traditional media were crucial, in the age of mass democracy, with promulgating and sustaining such norms. The internet has obliterated the intermediaries who made that possible, and, in the process, undermined the epistemic standing of actual experts. This essay considers some possible changes to existing free speech doctrine to remedy the epistemological crisis brought about by the internet.

Epistemic Courage and Open-Mindedness
Epistemic courage requires me to sometimes adopt a belief even in the face of doubts. Open-mindedness requires me to be able to reconsider my beliefs. It is generally assumed that we should have bo...

A Novel Kuhnian Ontology for Epistemic Classification of STM...
Despite rapid gains in scale, research evaluation still relies on opaque, lagging proxies. To serve the scientific community, we pursue transparency: reproducible, auditable epistemic...

ECHO CHAMBERS AND EPISTEMIC BUBBLES
Discussion of the phenomena of post-truth and fake news often implicates the closed epistemic networks of social media. The recent conversation has, however, blurred two distinct social epistemic phenomena. An epistemic bubble is a social epistemic structure in which other relevant voices have been left out, perhaps accidentally. An echo chamber is a social epistemic structure from which other relevant voices have been actively excluded and discredited. Members of epistemic bubbles lack exposure to relevant information and arguments. Members of echo chambers, on the other hand, have been brought to systematically distrust all outside sources. In epistemic bubbles, other voices are not heard; in echo chambers, other voices are actively undermined. It is crucial to keep these phenomena distinct. First, echo chambers can explain the post-truth phenomena in a way that epistemic bubbles cannot. Second, each type of structure requires a distinct intervention. Mere exposure to evidence can shatter an epistemic bubble, but may actually reinforce an echo chamber. Finally, echo chambers are much harder to escape. Once in their grip, an agent may act with epistemic virtue, but social context will pervert those actions. Escape from an echo chamber may require a radical rebooting of one's belief system.

Architecting Trust in Artificial Epistemic Agents
Large language models increasingly function as epistemic agents -- entities that can 1) autonomously pursue epistemic goals and 2) actively shape our shared knowledge environment. They curate the information we receive, often supplanting traditional search-based methods, and are frequently used to generate both personal and deeply specialized advice. How they perform these functions, including whether they are reliable and properly calibrated to both individual and collective epistemic norms, is therefore highly consequential for the choices we make. We argue that the potential impact of epistemic AI agents on practices of knowledge creation, curation and synthesis, particularly in the context of complex multi-agent interactions, creates new informational interdependencies that necessitate a fundamental shift in evaluation and governance of AI. While a well-calibrated ecosystem could augment human judgment and collective decision-making, poorly aligned agents risk causing cognitive deskilling and epistemic drift, making the calibration of these models to human norms a high-stakes necessity. To ensure a beneficial human-AI knowledge ecosystem, we propose a framework centered on building and cultivating the trustworthiness of epistemic AI agents; aligning AI these agents with human epistemic goals; and reinforcing the surrounding socio-epistemic infrastructure. In this context, trustworthy AI agents must demonstrate epistemic competence, robust falsifiability, and epistemically virtuous behaviors, supported by technical provenance systems and "knowledge sanctuaries" designed to protect human resilience. This normative roadmap provides a path toward ensuring that future AI systems act as reliable partners in a robust and inclusive knowledge ecosystem.

Epistemic courage
"'Epistemic Courage' is a timely and thought-provoking exploration of the ethics of belief. Drawing on a wide range of examples, from conspiracy theories to medical misinformation, Ichikawa shows why epistemology is no mere academic abstraction - the question of what to believe couldn't be more urgent. And, he argues, many mainstream ideas about what to believe - those emphasizing the importance of ensuring that one doesn't believe with insufficient evidence - are incomplete and distorting in important and harmful ways. A skeptical, negative bias about belief is connected to a conservative bias that reinforces the status quo. Throughout the book, Ichikawa argues that we need to shift our focus from avoiding false beliefs to actively seeking out true ones. Throughout the book, Ichikawa uses engaging and timely examples to illustrate his points. He tackles important questions, such as how moral considerations interact with evidential ones in deciding what to believe, and how to navigate the complex ethical issues around testimony, rape culture, and epistemic injustice. Accessible and rigorous, 'Epistemic Courage' invites readers to consider the importance of belief, and how it shapes our lives and the world around us. With its insightful analysis and compelling case studies, this book is an essential read for philosophers and anyone else interested in belief, social justice, and the pursuit of truth."--

Eliezer Yudkowsky Is Frequently, Confidently, Egregiously Wrong
It is bad when people who are consistently egregiously wrong become deferred to on everything

Epistemic Alienation and the Division of Labor
The division of cognitive labor leads to what Barry has recently called epistemic alienation: a problematic separation of individuals from epistemic goods. According to Barry, individuals are alienated from epistemic virtues because an efficient division of cognitive labor requires them to manifest a lack of virtues. I argue that this is a mistaken diagnosis of the source of epistemic alienation. Participating in high-functioning collectives does not prevent individuals from being robustly virtuous; rather, our cognitive limitations make it impossible for us to live up to the highest standards of epistemic conduct. Collectives transcend these cognitive limitations to achieve what individuals cannot by harnessing those same limitations in their members. Furthermore, I argue that we should distinguish the epistemic weaknesses that facilitate the division of cognitive labor from those that result from the division of labor. Only the latter are aspects of epistemic alienation. By dividing our cognitive labor over larger populations of agents and artifacts, we have massively accelerated our rate of epistemic productivity but have thereby created conditions that are variously inhospitable for the thinking of individuals by alienating them from the products, processes, and environments of inquiry. These forms of separation are problematic insofar as they amplify intellectual vices, incapacitate reason, and induce cognitive biases.

Epistemic Infrastructure: Building Shared Truth in an Era of Disaggregation
The Construct of Collective Perception

There is no fresh air: A problem with the concept of echo chambers
Standardly, echo chambers are thought to be structures that we should avoid. Agents should keep away from them, to be able to assess a fuller range of evidence and avoid having their confidence in that information manipulated. This paper argues against that standard view. Not only can echo chambers be neutral or good for us, but the existing definitions apply so widely that such chambers are unavoidable. We are all in large numbers of echo chambers at any time – they can be found not just on social media or in political groups, but in almost every social or epistemic group we could categorise ourselves into. Because we are finite and fallible, we cannot escape them and need to exist in them just to get by. The concept, then, does not actually capture something as structurally problematic as the paradigmatic cases would suggest. Our way of using the term in social epistemology needs to change.

Relying on Others: An Essay in Epistemology
Abstract. This book concerns the role others play in our attempts to acquire knowledge of the world. Two main forms of this reliance are examined: testimon

Reconciling truthfulness and relevance as epistemic and decision-theoretic utility.
Why Crisis Resilience Depends on Epistemic Security
If we want to prevent tomorrow’s crises from spiraling out of control, we must recognize epistemic systems as critical infrastructure, writes Elizabeth Seger.


Do we actually need to write research papers at all?
God, Human, Animal, Machine by Meghan O'Gieblyn: 9780525562719 | PenguinRandomHouse.com: Books
AI Tools for Trust: Community Notes, Rhetoric Detection & More
Can generative artificial intelligence be considered a cognitive subject? An analytic analysis
What Libraries Actually Do – Libraries as Epistemic Institutions

Epistemic Infrastructure: Building Shared Truth in an Era of Disaggregation