The use of linguistic markers and machine learning methods for speech in predicting a transition towards psychosis: What are the ethical challenges for patients and psychiatrists?
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2019
- handle: 10670/1.vuzf2r
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risk indicators predictive medicine psychiatry schizophrenia ethics linguistics language evaluation psychosis machine learningSujets proches
Psychotic disorders PsychosisCiter ce document
Pierre-François Bazziconi et al., « The use of linguistic markers and machine learning methods for speech in predicting a transition towards psychosis: What are the ethical challenges for patients and psychiatrists? », L'information psychiatrique, ID : 10670/1.vuzf2r
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For some time, prediction in the field of schizophrenia has been one of the major challenges facing psychiatrists worldwide. Several centers have been set up for early detection of subjects at risk of developing psychotic disorders, enabling rapid intervention. To enhance prediction, the Brest Department of Psychiatry has focused on identifying specific linguistic markers of transition towards psychosis using machine learning techniques. From reification of language to desubjectification of the individual, this transformation in clinical practice raises ethical and epistemological challenges. In keeping with the principle of beneficence and the duty to intervene with respect to vulnerable subjects, a precautionary ethical approach could achieve the right balance between advocates of abstention and those who extol “intervention at any cost”. In deploying energy to constantly evolve, this approach would thus, like language, act as a mediator between an individual's “inner world” and the “common world.”