Machine Learning and Artificial Intelligence in Psychiatric Medicine: Trustworthiness, Epistemic Justice, and Empowerment

Medicine has a distinct set of moral responsibilities. This is because the physician-patient relationship contains inherent inequalities of knowledge, skills, and control of resources, and it treats matters both intimate and potentially of great importance to the patient (Rhodes 2001: Nickel &amp:amp: Frank 2020). These responsibilities include physician’s obligation to earn trust and be trustworthy (Rhodes 2001: 2020). The field of psychiatric medicine faces additional ethical challenges specifically related to patient trust. As artificial intelligence and machine learning technologies (in diagnosis, relapse prevention, and treatment) begin to play a larger role in all medicine, and specifically psychiatry, these ethical challenges may be exacerbated or complicated. In this talk I present three of these challenges relating to patient testimony, false empowerment, and harm prevention.

Andere activiteit

Op locatie

Informatie

7 maart, 2024 - De voertaal is Engels, maar we voorzien een simultaanvertaling naar het Nederlands

Plaats

Leercentrum Agora, Edward Van Evenstraat 4, 3000 Leuven

Spreker(s)

Lily Frank is a Philosopher and an Assistant Professor of Philosophy and Ethics at the Technical University of Eindhoven, in the Netherlands.

Inlichtingen

healthhumanities@ls.kuleuven.be

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Organisatornummer

2,862

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