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BIOUNCERTAINTY - ERC Starting Grant no. 805498

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11th March 2021: Research seminar online - Michał Klincewicz (Tilburg University / Jagiellonian University): Consequences of unexplainable machine learning for the notions of a trusted doctor and patient autonomy

11th March 2021: Research seminar online - Michał Klincewicz (Tilburg University / Jagiellonian University): Consequences of unexplainable machine learning for the notions of a trusted doctor and patient autonomy

We have the pleasure to invite you for a research seminar in the ‘BIOUNCERTAINTY’ research project. The seminar will take place on Thursday, March 11th, at 5:30pm on MS Teams (link below).

Abstract: This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to what needs to be done to achieve an acceptable level of explainability in an ML algorithm when it is used in a healthcare context.

 

Michał Klincewicz is an assistant professor in the Department of Cognitive Science and Artificial Intelligence at Tilburg University and an assistant professor at the Institute of Philosophy of the Jagiellonian University. His research focuses on the temporal dimension of cognition, including conscious experience, personal change over time, perception, and dreams. He is also strongly interested in ethically problematic consequences of emerging technologies, such as autonomous weapon systems and moral enhancement.
 
 
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