While rapid advances in artificial intelligence hiring tools promise to transform the workplace, these algorithms risk exacerbating existing biases against marginalized groups. In light of these ethical issues, AI vendors have sought to translate normative concepts such as fairness into measurable, mathematical criteria that can be optimized for. However, questions of disability and access often are omitted from these ongoing discussions about algorithmic bias. In this paper, I argue that the multiplicity of different kinds and intensities of people’s disabilities and (...) the fluid, contextual ways in which they manifest point to the limits of algorithmic fairness initiatives. In particular, existing de-biasing measures tend to flatten variance within and among disabled people and abstract away information in ways that reinforce pathologization. While fair machine learning methods can help mitigate certain disparities, I argue that fairness alone is insufficient to secure accessible, inclusive AI. I then outline a disability justice approach, which provides a framework for centering disabled people’s experiences and attending to the structures and norms that underpin algorithmic bias. (shrink)

Ithank the commenters for their insightful remarks, from which I have learned much. In my article, I sought to explain psychiatric vagueness, which arises in borderline cases where there is no fact of the matter as to whether a diagnosis rightly can be said to apply.1 I argued “if psychiatric vagueness exists, then some of it is at least partially semantic”. A semantic account holds that vague utterances express different propositions since small gaps in how linguistic communities apply terms modify (...) their referents, making their precise extension indeterminate.2 On my view, this best accommodates intuitions about the nature of conditions and explains historical changes in the application of... (shrink)

Abstract:Many discussions in the philosophy of psychiatry hinge on, among other things, the concepts of disorders, the role of underlying mechanisms, and the merits of various diagnostic models. Yet, some such disputes rest on assumptions about vagueness in the sense of susceptibility to the Sorites paradox as opposed to mere uncertainty in clinical practice. Studying borderline cases of psychiatric conditions—those where it is indeterminate whether applying a diagnosis is appropriate—may shed light on broader debates about the nature and boundaries of (...) these conditions. In this article, I will argue that if psychiatric vagueness exists, then some instances of it stem at least partially from how we describe the world instead of the state of the world or what we know about it. In other words, vagueness in psychiatric terms and concepts is at least in part semantic and neither solely epistemic nor solely ontic. On this view, slight differences in how various linguistic communities apply diagnostic terms modify their referents, making their precise extension indeterminate. This implies that we can sometimes answer questions about diagnosis by settling disagreements about language, which may provide traction in debates about the philosophy of nosology and help inform psychiatric practice. (shrink)