In this article, I explore how researchers’ metaphysical commitments can be conducive—or unconducive—to progress in animal cognition research. The methodological dictum known as Morgan’s Canon exhorts comparative psychologists to countenance the least mentalistic fair interpretation of animal actions. This exhortation has frequently been misread as a blanket condemnation of mentalistic interpretations of animal behaviors that could be interpreted behavioristically. But Morgan meant to demand only that researchers refrain from accepting default interpretations of (apparent) actions until other fair interpretations have been (...) duly considered. The Canon backfired largely because of Morgan’s background metaphysical commitment to a univocal, hierarchical, and anthropocentric account of cognitive architecture. I make the case that, going forward, comparative psychologists would do well to pair judicious use of Morgan’s Canon with an openness to the existence of non-humanlike animal minds comprising phenomena belonging to distinct cognitive and folk psychological ontologies. And I argue that this case gives us pragmatic reason to reconcile deep—e.g., psychofunctionalist—and superficial—e.g., dispositionalist—approaches to the metaphysics of belief. (shrink)

In this paper I explore three challenges to the morality of belief. First, whether we have the necessary control over our beliefs to be held responsible for them, i.e., the challenge of doxastic involuntarism. Second, the question of whether belief is really the attitude that we care about in the cases used to motivate the morality of belief. Third, whether attitudes weaker than belief, such as credence, can wrong, I then end by turning to how answers to the previous challenges (...) suggest a way of extending the morality of belief to encompass a way of thinking of the moral mind more generally. (shrink)

In this paper we, an epistemologist and a machine learning scientist, argue that we need to pursue a novel area of philosophical research in AI – the ethics of belief for AI. Here we take the ethics of belief to refer to a field at the intersection of epistemology and ethics concerned with possible moral, practical, and other non-truth-related dimensions of belief. In this paper we will primarily be concerned with the normative question within the ethics of belief regarding what (...) agents – both human and artificial – ought to believe, rather than with questions concerning whether beliefs meet certain evaluative standards such as being true, being justified, constituting knowledge, etc. We suggest four topics in extant work in the ethics of (human) belief that can be applied to an ethics of AI belief: doxastic wronging by AI (morally wronging someone in virtue of beliefs held about them); morally owed beliefs (beliefs that agents are morally obligated to hold); pragmatic and moral encroachment (cases where the practical or moral features of a belief is relevant to its epistemic status, and in our case specifically to whether an agent ought to hold the belief); and moral responsibility for AI beliefs. We also indicate two relatively nascent areas of philosophical research that haven’t yet been generally recognized as ethics of AI belief research, but that do fall within this field of research in virtue of investigating various moral and practical dimensions of belief: the epistemic and ethical decolonization of AI; and epistemic injustice in AI. (shrink)