The Black Box Myth

Author:

Rudnick Abraham1

Affiliation:

1. Dalhousie University, Halifax Regional Municipality, Canada

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.

Publisher

IGI Global

Reference10 articles.

1. Science and Culture

2. Arbesman, S. (2013). The half-life of facts: Why everything we know has an expiration date. New York: Current.

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