The notion of credit plays a central role in virtue epistemology and in the literature on moral worth. While virtue epistemologists and ethicists have devoted a significant amount of work to providing an account of creditable success, a unified theory of credit applicable to both epistemology and ethics, as well as a discussion of the general form it should take, are largely missing from the literature. Our goal is to lay out a theory of credit that seems to underlie much (...) of the discussion in virtue epistemology, which we dub the Cake Theory. We argue that given the goals that virtue epistemologists and ethicists who discuss moral worth have, this theory is problematic, for it makes credit depend on the wrong facts. (shrink)

I will present a novel account of justification in terms of knowledge on which one is justified in believing p just in case one could know that p. My main aim is to unravel some of the formal properties that justification has in virtue of its connection to knowledge. Assuming that safety is at least a necessary condition for knowledge, I show that justification doesn’t iterate trivially; isn’t a luminous condition; is closed under a certain kind of multi-premise closure principle, (...) but; surprisingly one can nevertheless believe with justification a set of claims that’s jointly inconsistent. This last feature allows for a rather satisfying solution to the preface paradox. Finally, I contrast my account with other knowledge-first accounts of justification. (shrink)

Knowledge demands more than accuracy: epistemologists are broadly agreed that those who know are non-accidentally right, satisfying some kind of safety condition. However, it is hard to formulate any adequate account of safety, and harder still to explain exactly why we care about it. This paper approaches the problem by looking at a concrete human cognitive capacity, face recognition, to see where epistemic safety shows up in it. Drawing on new models in artificial intelligence, and making a case that human (...) face recognition is relevantly similar, I argue that safety is a natural feature of successful generalization. The concluding section of the paper applies this lesson to the problem of our intuitive recognition of knowledge. (shrink)