The Black Box Myth: Artificial Intelligence's Threat Re-Examined

The Black Box Myth: Artificial Intelligence's Threat Re-Examined

Abraham Rudnick (Dalhousie University, Halifax Regional Municipality, Canada)
DOI: 10.4018/IJEACH.2019010101

Abstract

Artificial intelligence (AI) and its correlates, such as machine and deep learning, are changing health care, where complex matters such as comoribidity call for dynamic decision-making. Yet, some people argue for extreme caution, referring to AI and its correlates as a black box. This brief article uses philosophy and science to address the black box argument about knowledge as a myth, concluding that this argument is misleading as it ignores a fundamental tenet of science, i.e., that no empirical knowledge is certain, and that scientific facts – as well as methods – often change. Instead, control of the technology of AI and its correlates has to be addressed to mitigate such unexpected negative consequences.
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