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The CLAIRE COVID-19 initiative: approach, experiences and recommendations
Computer Science Department, Machine Learning Group, Université Libre de Bruxelles, Bruxelles, Belgium.
CLAIRE Office Switzerland, Geneva Center for Security Policy (GCSP), IEEE Brain Initiative, Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland.
CLAIRE Office Belgium, Vrije Universiteit Brussel, AI Experience Center / AI for the Common Good Initiative, Ixelles, Belgium.
Pop AI, Torino, Italy.
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2021 (English)In: Ethics and Information Technology, ISSN 1388-1957, E-ISSN 1572-8439, Vol. 23, no Suppl. 1, p. 127-133Article in journal (Refereed) Published
Abstract [en]

A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 23, no Suppl. 1, p. 127-133
Keywords [en]
Artificial intelligence, COVID-19, Emergency response
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:oru:diva-89619DOI: 10.1007/s10676-020-09567-7ISI: 000616464600001PubMedID: 33584129Scopus ID: 2-s2.0-85101426290OAI: oai:DiVA.org:oru-89619DiVA, id: diva2:1528561
Available from: 2021-02-16 Created: 2021-02-16 Last updated: 2023-12-08Bibliographically approved

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Saffiotti, Alessandro

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