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高性能计算与人工智能的道德应用:巴塞罗那超级计算中心抗击新冠疫情

The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center.

作者信息

Cortés Ulises, Cortés Atia, Garcia-Gasulla Dario, Pérez-Arnal Raquel, Álvarez-Napagao Sergio, Àlvarez Enric

机构信息

Universitat Politècnica de Catalunya, Edifici Omega 205, Jordi Girona 29, 08034 Barcelona, Spain.

Barcelona Supercomputing Center, Edifici Omega 201, Jordi Girona 1 and 3, 08034 Barcelona, Spain.

出版信息

AI Ethics. 2022;2(2):325-340. doi: 10.1007/s43681-021-00056-1. Epub 2021 May 6.

DOI:10.1007/s43681-021-00056-1
PMID:34790948
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8101339/
Abstract

The COVID-19 pandemic has created an extraordinary medical, economic and humanitarian emergency. Artificial intelligence, in combination with other digital technologies, is being used as a tool to support the fight against the viral pandemic that has affected the entire world since the beginning of 2020. Barcelona Supercomputing Center collaborates in the battle against the coronavirus in different areas: the application of bioinformatics for the research on the virus and its possible treatments, the use of artificial intelligence, natural language processing and big data techniques to analyse the spread and impact of the pandemic, and the use of the MareNostrum 4 supercomputer to enable massive analysis on COVID-19 data. Many of these activities have included the use of personal and sensitive data of citizens, which, even during a pandemic, should be treated and handled with care. In this work we discuss our approach based on an ethical, transparent and fair use of this information, an approach aligned with the guidelines proposed by the European Union.

摘要

新冠疫情引发了一场极其严重的医疗、经济和人道主义危机。人工智能与其他数字技术相结合,正被用作一种工具,以支持抗击自2020年初以来影响全球的病毒性疫情。巴塞罗那超级计算中心在不同领域参与抗击新冠病毒的工作:应用生物信息学研究病毒及其可能的治疗方法;利用人工智能、自然语言处理和大数据技术分析疫情的传播和影响;使用“地中海4号”超级计算机对新冠疫情数据进行大规模分析。其中许多活动都涉及使用公民的个人敏感数据,即使在疫情期间,这些数据也应谨慎处理。在这项工作中,我们讨论了基于对这些信息进行道德、透明和公平使用的方法,该方法与欧盟提出的指导方针相一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/d905fdebddd6/43681_2021_56_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/4ff0f2aff4b0/43681_2021_56_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/05f08b50e6ea/43681_2021_56_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/d905fdebddd6/43681_2021_56_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/4ff0f2aff4b0/43681_2021_56_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/6d15b4d5d0de/43681_2021_56_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/05f08b50e6ea/43681_2021_56_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/8101339/d905fdebddd6/43681_2021_56_Fig4_HTML.jpg

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