Taylor Matthews

A central aim of non-epistemology is to eschew idealisations that tend to distort our epistemological theorising. In this paper, I use the resources of non-ideal epistemology to shed light on a perceived asymmetry between the structure of epistemic virtues and vices. On the one hand, epistemic virtues are widely held to exhibit a skill-component as part of their formal structure. On the other hand, epistemic vices are taken to lack this component. I cast doubt on this asymmetry by demonstrating that it is sustained by two idealisations virtue epistemologists have tended to employ in their theorising of epistemic vice and the environments in which agents develop epistemic virtues. In doing so, I argue that this asymmetry has problematically obscured from view what I call ‘vice-indexed skills’ – distinctive skills associated with epistemic vices. The existence of these skills not only reveals an important structural symmetry between the epistemic virtues and vices, but it is something that comes to light by applying the tools of non-ideal epistemology to vice epistemology.

In this short paper, I respond to Keith Raymond Harris’ paper “Synthetic Media, The Wheel, and the Burden of Proof”. In particular, I examine his arguments against two prominent approaches employed to deal with synthetic media such as deepfakes and other GenAI content, namely, the “reactive” and “proactive” approaches. In the first part, I raise a worry about the problem Harris levels at the reactive approach, before providing a constructive way of expanding his worry regarding the proactive approach.

This thesis examines the relationship between character and intellectual or epistemic vices. The philosophical study of epistemic vices is called vice epistemology. To date, much of the work in this emerging field has focused on the nature and epistemological significance of particular intellectual vices such as close-mindedness or dogmatism. Far less has been said about how it is that people come to acquire and develop these intellectual vices. My aim in this thesis is to fill this lacuna by articulating how this phenomenon occurs. Specifically, this thesis develops an account of epistemic corruption.

Recent develops in AI technology have led to increasingly sophisticated forms of video manipulation. One such form has been the advent of deepfakes. Deepfakes are AI-generated videos that typically depict people doing and saying things they never did. In this paper, I demonstrate that there is a close structural relationship between deepfakes and more traditional fake barn cases in epistemology. Specifically, I argue that deepfakes generate an analogous degree of epistemic risk to that which is found in traditional cases. Given that barn cases have posed a long-standing challenge for virtue-theoretic accounts of knowledge, I consider whether a similar challenge extends to deepfakes. In doing so, I consider how Duncan Pritchard’s recent anti-risk virtue epistemology meets the challenge. While Pritchard’s account avoids problems in traditional barn cases, I claim that it leads to local scepticism about knowledge from online videos in the case of deepfakes. I end by considering how two alternative virtue-theoretic approaches might vindicate our epistemic dependence on videos in an increasingly digital world.

In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of ‘deep learning' and ‘fake', and for the most part they are videos which depict people doing and saying things they never did. As a result, much of the emerging literature on deepfakes has turned on questions of trust, harms, and information-sharing. In this paper, I add to the emerging concerns around deepfakes by drawing on resources from vice epistemology. As deepfakes become more sophisticated, I claim, they will develop to be a source of online epistemic corruption. More specifically, they will encourage consumers of digital online media to cultivate and manifest various epistemic vices. My immediate focus in this paper is on their propensity to encourage the development of what I call ‘intellectual cynicism'. After sketching a rough account of this epistemic vice, I go on to suggest that we can partially offset such cynicism – and fears around deceptive online media more generally – by encouraging the development what I term a trained ‘digital sensibility'. This, I contend, involves a calibrated sensitivity to the epistemic merits of online content.