This article identifies and examines a tension in mental health researchers’ growing enthusiasm for the use of computational tools powered by advances in artificial intelligence and machine learning (AI/ML). Although there is increasing recognition of the value of participatory methods in science generally and in mental health research specifically, many AI/ML approaches, fueled by an ever-growing number of sensors collecting multimodal data, risk further distancing participants from research processes and rendering them as mere vectors or collections of data points. The (...) imperatives of the “participatory turn” in mental health research may be at odds with the (often unquestioned) assumptions and data collection methods of AI/ML approaches. This article aims to show why this is a problem and how it might be addressed. (shrink)

This paper offers an overview of the philosophical work on epistemic injustices as it relates to psychiatry. After describing the development of epistemic injustice studies, we survey the existing literature on its application to psychiatry. We describe how the concept of epistemic injustice has been taken up into a range of debates in philosophy of psychiatry, including the nature of psychiatric conditions, psychiatric practices and research, and ameliorative projects. The final section of the paper indicates future directions for philosophical research (...) of epistemic injustices and psychiatry, concerning neurocognitive disorders, identity prejudices in psychiatric illness, concepts of epistemic privilege in psychiatry, and the prospects for combining phenomenological psychopathology and epistemic justice. We argue that much remains to be done in the conceptualization of these epistemic injustices and suggest that this future work should be multidisciplinary in character and sensitive to the phenomenology of psychiatric conditions. (shrink)

Self-diagnosis in psychiatry is where individuals diagnose themselves rather than rely upon official diagnosticians to supply a psychiatric diagnosis. The accuracy of self-diagnosis is a contested topic. In this paper, I outline what arguments are needed to see self-diagnosis as accurate and how different approaches to self-diagnosis require different arguments. I show how different arguments are required to justify accuracy for an autistic individual judging they are autistic compared to non-autistic individuals judging they are not autistic. Different arguments are required (...) if a self-diagnosing individual accepts or rejects official diagnostic criteria. Finally, different arguments are required depending upon whether diagnoses are seen as objective entities, the product of theoretical virtues or practically useful groupings. All these approaches require unique arguments to justify the accuracy of self-diagnosis. Identifying the required arguments for different approaches is a stepping stone toward establishing whether those arguments and which of those arguments can be successfully justified. (shrink)

1. Imagine the following hypothetical scenario: Sarah is often called an expert on depression: after all, she graduated from medical school and has a PhD in neuroscience. She knows all theories of...

In recent years, autopoietic enactivism has been used to address persistent conceptual problems in psychiatry, such as the problem of demarcating disorder, that other models thus far have failed to overcome. There appear to be three main enactive accounts of psychopathology with subtle, although not incompatible, differences: Maiesecharacterizes disorder as distinct disruptions in autonomy and agency; Nielsen characterizes disorder as behaviors that relevantly conflict with the functional norms of an individual; De Haan emphasizes patterns of disordered sense-making, that are transformed (...) through the existential dimension. Given that these accounts are intended to provide not only an ontologically richer account of psychopathology but also reduce the stigma experienced by individuals with mental disorders by accounting for lived experience, a critical analysis of these approaches is needed. I will provide a problematization of enactive accounts of mental disorder, showing that this particular framework does not, as it stands, necessarily reduce the harm and suffering experienced by individuals with mental disorder because of its ontological openness; enactivism leaves much to be interpreted and applied by the clinician (or patient) such that practical and ethical problems in its use arise. (shrink)

In this article, we delve in debates around the usefulness of the notion of epistemic injustice in psychiatry to show that the concept has been misportrayed in the literature. We suggest that epistemic injustice should revolve around phenomenology and regard first and foremost the failure of mental health professionals to acquire and utilize information that service users are experts in, i.e. first-person testimony pertaining to what it is like to be them. We use this conceptualization to demonstrate the unique benefits (...) that the concept of epistemic injustice can bring to psychiatric practice, and we illustrate these through specific case studies, focusing particularly on autism. (shrink)