A Tale of Two Deficits: Causality and Care in Medical AI

Philosophy and Technology 33 (2):245-267 (2020)
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Abstract

In this paper, two central questions will be addressed: ought we to implement medical AI technology in the medical domain? If yes, how ought we to implement this technology? I will critically engage with three options that exist with respect to these central questions: the Neo-Luddite option, the Assistive option, and the Substitutive option. I will first address key objections on behalf of the Neo-Luddite option: the Objection from Bias, the Objection from Artificial Autonomy, the Objection from Status Quo, and the Objection from Inscrutability. I will thereafter present the Demographic Trends Argument and the Human Enhancement Argument in support of alternatives to the Neo-Luddite option. In the second half of the paper, I will argue against the Substitutive option and in favour of the Assistive option, given the existence of two chief formal deficits in medical AI technology: the causality deficit and the care deficit.

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Melvin Chen
Nanyang Technological University, Singapore

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References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Superintelligence: paths, dangers, strategies.Nick Bostrom (ed.) - 2014 - Oxford University Press.
Physics.Daniel W. Aristotle & Graham - 2018 - Hackett Publishing Company.
Health as a theoretical concept.Christopher Boorse - 1977 - Philosophy of Science 44 (4):542-573.

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