Users of sociotechnical systems often have no way to independently verify whether the system output which they use to make decisions is correct; they are epistemically dependent on the system. We argue that this leads to problems when the system is wrong, namely to bad decisions and violations of the norm of practical reasoning. To prevent this from occurring we suggest the implementation of defeaters: information that a system is unreliable in a specific case (undercutting defeat) or independent information that (...) the output is wrong (rebutting defeat). Practically, we suggest to design defeaters based on the different ways in which a system might produce erroneous outputs, and analyse this suggestion with a case study of the risk classification algorithm used by the Dutch tax agency. (shrink)

Must rational thinkers have consistent sets of beliefs? I shall argue that it can be rational for a thinker to believe a set of propositions known to be inconsistent. If this is right, an important test for a theory of rational belief is that it allows for the right kinds of inconsistency. One problem we face in trying to resolve disagreements about putative rational requirements is that parties to the disagreement might be working with different conceptions of the relevant attitudes. (...) My aim is modest. I hope to show that there is at least one important notion of belief such that a thinker might rationally hold a collection of beliefs (so understood) even when the thinker knows their contents entail a contradiction. (shrink)

This article develops and defends a full account of the nature and normativity of resistance to evidence, according to which resistance to evidence is an instance of input-level epistemic malfunctioning. At the core of this epistemic normative picture lies the notion of knowledge indicators, as evidential probability increasing facts that one is in a position to know; resistance to evidence is construed as a failure to uptake knowledge indicators.

We argue that there is nothing that can do the work that normative reasons are expected to do. A currently popular view is that in any given situation, a set of normative reasons (understood as a set of facts, typically about the agent’s situation) always determines the ways we prospectively should or should not respond. We discuss an example that we think shows no such collection of facts could have this normative significance. A radical response might be to dispense with (...) reasons and explain the facts about the ways we should respond using something else entirely (e.g., expected value). We think a more fruitful approach is to explore the possibility of using decision-theoretic tools in a reasons-centred framework. (shrink)

Our epistemology can shape the way we think about perception and experience. Speaking as an epistemologist, I should say that I don’t necessarily think that this is a good thing. If we think that we need perceptual evidence to have perceptual knowledge or perceptual justification, we will naturally feel some pressure to think of experience as a source of reasons or evidence. In trying to explain how experience can provide us with evidence, we run the risk of either adopting a (...) conception of evidence according to which our evidence isn’t very much like the objects of our beliefs that figure in reasoning (e.g., by identifying our evidence with experiences or sensations) or the risk of accepting a picture of experience according to which our perceptions and perceptual experiences are quite similar to beliefs in terms of their objects and their representational powers. But I think we have good independent reasons to resist identifying our evidence with things that don’t figure in our reasoning as premises and I think we have good independent reason to doubt that experience is sufficiently belief-like to provide us with something premise-like that can figure in reasoning. We should press pause. We shouldn’t let questionable epistemological assumptions tell us how to do philosophy of mind. I don’t think that we have good reason to think that we need the evidence of the senses to explain how perceptual justification or knowledge is possible. Part of my scepticism derives from the fact that I think we can have kinds of knowledge where the relevant knowledge is not evidentially grounded. Part of my scepticism derives from the fact that there don’t seem to be many direct arguments for thinking that justification and knowledge always requires evidential support. In this paper, I shall consider the three arguments I’ve found for thinking that justification and knowledge do always require evidential support and explain why I don’t find them convincing. I think that we can explain perceptual justification, rationality, and defeat without assuming that our experiences provide us with evidence. In the end, I think we can partially vindicate Davidson’s (notorious) suggestion that our beliefs, not experiences, provide us with reasons for forming further beliefs. This idea turns out to be compatible with foundationalism once we understand that foundational status can come from something other than evidential support. (shrink)

While many of us would not want to abandon the requirement that a defendant can only be found guilty of a serious criminal offence by a unanimous jury, we should not expect epistemology to give us the resources we need for justifying this requirement. The doubts that might prevent jurors from reaching unanimity do not show that, say, the BARD standard has not been met. Even if it were true, as some have suggested, that rationality requires that a jury composed (...) of epistemic peers should coalesce around one view about the defendant’s guilt, the failure to reach unanimity might be a good reason to worry about the epistemic failings of some small number of jurors but no reason to worry that we’ve failed to protect the defendant from an unjustified imposition of, say, the risk against wrongful conviction. The arguments for the unanimity requirement will need to come from outside of epistemology. (shrink)

In Fallibilism: Evidence and Knowledge, Jessica Brown identifies a number of problems for the so-called knowledge view of justification. According to this view, we cannot justifiably believe what we do not know. Most epistemologists reject this view on the grounds that false beliefs can be justified if, say, supported by the evidence or produced by reliable processes. We think this is a mistake and that many epistemologists are classifying beliefs as justified because they have properties that indicate that something should (...) be excused. Brown thinks that previous attempts to make this case have been unsuccessful. While the difficulties Brown points to are genuine, I think they show that attempts to explain a classificatory judgment haven't been successful. Still, I would argue that the classification is correct. We need a better explanation of this classificatory judgment. I will try to clarify the justification-excuse distinction and explain why it's a mistake to insist that beliefs that violate epistemic norms might be justified. Just as it's possible for a rational agent to act without justification in spite of her best intentions, it's possible that a rational thinker who follows the evidence and meets our expectations might nevertheless believe without sufficient justification. If our justified beliefs are supposed to guide us in deciding what to do, we probably should draw on discussions from morality and the law about the justification/excuse distinction to inform our understanding of the epistemic case. (shrink)

Epistemologists spend a great deal of time thinking about how we should respond to our evidence. They spend far less time thinking about the ways that evidence can be acquired in the first place. This is an oversight. Some ways of acquiring evidence are better than others. Many normative epistemologies struggle to accommodate this fact. In this article I develop one that can and does. I identify a phenomenon – epistemic feedback loops – in which evidence acquisition has gone awry, (...) with the result that even beliefs based on the evidence are irrational. Examples include evidence acquired under the influence of confirmation bias and evidence acquired under the influence of cognitively penetrated experiences caused by implicit bias. I then develop a theoretical framework which enables us to understand why beliefs that are the outputs of epistemic feedback loops are irrational. Finally, I argue that many popular approaches to epistemic normativity may need to be abandoned on the grounds that they cannot comfortably explain feedback loops. The scope of this last claim is broad: it includes almost all contemporary theories of justified/rational belief and of the epistemology of cognitive penetration. (shrink)

This paper argues that the agent concerned to have accurate (outright) beliefs will have a consistent and multi-premise closed belief set, and not a (merely) single-premise closed and (merely) pairwise consistent belief set, as has often been thought. This argument rests on the fact that we need a notion of accuracy coherence for belief that is belief-sensitive; sensitive to one's perspective, in a way that the standard belief-insensitive notion of accuracy coherence is not. The choice of the belief-sensitive over belief-insensitive (...) notion is defended, as is the choice of this particular belief-sensitive kind of accuracy coherence over other belief-sensitive rivals. Our conclusion is that accurate believers are deductively cogent. (shrink)

Knowledge-first theories of justification are theories of justification that give knowledge priority when it comes to explaining when and why someone has justification for an attitude or an action. The emphasis of this article is on knowledge-first theories of justification for belief. As it turns out, there are a number of ways of giving knowledge priority when theorizing about justification, and what follows is a survey of more than a dozen existing options that have emerged in the early 21st century (...) since the publication of Timothy Williamson’s *Knowledge and Its Limits*. This article traces several of the general theoretical motivations that have been offered for putting knowledge first in the theory of justification. This is followed by an examination of existing knowledge-first theories of justification and their standing objections. These objections are largely, but not exclusively, concerned with the extensional adequacy of knowledge-first theories of justification. There are doubtless more ways to give knowledge priority in the theory of justified belief than are covered here, but the survey is instructive because it highlights potential shortcomings that would-be knowledge-first theorists of justification may wish either to avoid or else to be prepared with a suitable error theory. This entry concludes with a reflection about the extent to which the short history of, arguably, failed attempts to secure an unproblematic knowledge-first account of justified belief has begun to resemble the older Gettier dialectic. (shrink)