Diagnoses are central to the practice of medicine, where they serve a variety of functions for clinicians, patients, and society. They aid communication, explain symptoms, inform predictions, guide therapeutic interventions, legitimize sickness, and authorize access to resources. Insofar as psychiatry is a discipline whose practice is shaped by medical conventions, its diagnoses are sometimes presented as if they serve the same sorts of function as diagnoses in bodily medicine. However, there are philosophical problems that cast doubt on whether the functions (...) of psychiatric diagnoses can legitimately be considered to be equivalent to those of medical diagnoses. The aim of this chapter is to explicate some of these problems, particularly conceptual and epistemological problems pertaining to the roles of diagnoses as explanations. I begin with an overview of the various functions that medical diagnoses normally serve and suggest that many of these functions receive justificatory support from the explanatory roles of the diagnoses. I then present issues regarding the epistemic functions of psychiatric diagnoses and how these issues have featured in the arguments of prominent critics of psychiatry. (shrink)

Selected by the Economist as one of the best books of 2020. -/- Privacy Is Power argues that people should protect their personal data because privacy is a kind of power. If we give too much of our data to corporations, the wealthy will rule. If we give too much personal data to governments, we risk sliding into authoritarianism. For democracy to be strong, the bulk of power needs to be with the citizenry, and whoever has the data will have (...) the power. Privacy, I argue, is not a personal preference; it is a political concern. I also argue that personal data is a toxic asset, and should be regulated as if it were a toxic substance, similar to asbestos. I call for a complete ban to the trade in personal data. The book is at once philosophical and political, and extremely practical and accessible. It discusses liberal democracy, equality, justice, and autonomy. It includes a chapter for policymakers, and one that addresses what ordinary citizens can do to protect privacy. Finally, the book covers the tension between privacy and public health in the context of covid19. -/- . (shrink)

One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI (HLEG) have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI (HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust is one of the most important and defining activities in (...) human relationships, so proposing that AI should be trusted, is a very serious claim. This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust. While AI meets all of the requirements of the rational account of trust, it will be shown that this is not actually a type of trust at all, but is instead, a form of reliance. Ultimately, even complex machines such as AI should not be viewed as trustworthy as this undermines the value of interpersonal trust, anthropomorphises AI, and diverts responsibility from those developing and using them. (shrink)

This paper provides an account of social practices that reveals how they are constitutive of social agency, enable coordination around things of value, and are a site for social intervention. The social world, on this account, does not begin when psychologically sophisticated individuals interact to share knowledge or make plans. Instead, culture shapes agents to interpret and respond both to each other and the physical world around us. Practices shape us as we shape them. This provides resources for understanding why (...) social practices tend to be stable, but also reveals sites and opportunities for change. (shrink)

The Social Theory of Practices effectively criticized conceptions of social practices as rule-governed or regularity-exhibiting performances. Turner’s criticisms nevertheless overlook an alternative, "normative" conception of practices as constituted by the mutual accountability of their performances. Such a conception of practices also allows a more adequate understanding of normativity in terms of accountability to what is at issue and at stake in a practice. We can thereby understand linguistic practice and normative authority without having to posit stable meanings, rules, norms, or (...) presuppositions underlying the manifest diversity of social life. Key Words: normativity • practices • rules • language. (shrink)

This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...) and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front. (shrink)