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首页> 外文期刊>AI & society: The journal of human-centered systems and machine intelligence >Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic
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Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic

机译：Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic

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摘要

Artificial intelligence plays an important role and has been used by several countries as a health strategy in an attempt to understand,control and find a cure for the disease caused by Coronavirus.These intelligent systems can assist in accelerat-ing the process of developing antivirals for Coronavirus and in predicting new variants of this virus.For this reason,much research on COVID-19 has been developed with the aim of contributing to new discoveries about the Coronavirus.However,there are some epistemological aspects about the use of AI in this pandemic period of Covid-19 that deserve to be discussed and need reflections.In this scenario,this article presents a reflection on the two epistemological aspects faced by the COVID-19 pandemic:(1)The epistemological aspect resulting from the use of patient data to fill the knowledge base of intelligent systems;(2)the epistemological problem arising from the dependence of health professionals on the results/diagnoses issued by intelligent systems.In addition,we present some epistemological challenges to be implemented in a pandemic period.

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