I argue that the recurring practice of self-diagnosis of psychiatric conditions such as autism spectrum disorder and attention-deficit/hyperactivity disorder on social media platforms poses a threat to personal autonomy understood as self-governance. My main argument is that self-diagnosis conducted without professional expertise is prone to lead to misdiagnosis, which can take the form of a distortion of self-image. This may result in pathologizing normal experiences and behaviors and the adoption of behavioral adjustments that harm those who engage in self-diagnosis. Acknowledging (...) that the surge of self-diagnosis content is a response to inadequacies of mental health care systems in many parts of the world, I argue against prohibiting such content and end with a more modest suggestion of implementing warnings alongside it on social media platforms, as is already common practice for misinformation content on diseases like Covid-19. (shrink)

The diagnosis of autism is on the rise. Autistic people, parents, professionals, and policy makers alike face important questions about the right approach toward autism. For example, there are questions about the desirability of early detection, the role and consequences of underlying cognitive theories, and whether autism is a disorder to be treated or an identity to be respected. How does the fact that autism is a heterogeneous concept affect the answers to these questions? Who has the authority or knowledge (...) to speak on behalf of people with autism? In this paper, we describe a cluster of research topics which should be on the agenda of the emerging field of autism ethics. These topics include the very concept of autism itself, the question whether autism is primarily an identity or a disorder, the ethical questions that parents of autistic children face, metaethical questions, the ethical consequences of epistemological questions, and a cluster of questions related to social justice, stigma, and paternalism. (shrink)

McCoy, Liu, Lutz, and Sisti (2020) raise concerns about “partial representation,” in which nonelected advocates or advocacy organizations fail to engage and hold themselves accountable to the full range of people they purport to represent. They are right to point out that the autism community is vulnerable to partial representation. This open peer commentary notes some elements among those engaged with autism that may not fit under the type of “federated model” of representation McCoy, et al recommend. Advocates should tread (...) carefully to avoid some types of harm that do not arise when forming federations on other topics. The influence of antivaxxers and other questionable or harmful movements might even lead us to think, despite the value of open debate and engagement, that there is benefit to partial representation if it prevents potential harms that could arise from legitimizing dangerous practices. (shrink)

Volume 20, Issue 4, May 2020, Page 30-33.

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)