The CLAIRE COVID-19 initiative: approach, experiences and recommendations

被引:0
|
作者
Bontempi, Gianluca [1 ]
Chavarriaga, Ricardo [2 ]
Ed Canck, Hans [3 ]
Girardi, Emanuela [4 ]
Hoos, Holger [5 ,6 ]
Kilbane-Dawe, Iarla [7 ]
Ball, Tonio [8 ]
Nowe, Ann [9 ]
Sousa, Jose [10 ]
Bacciu, Davide [11 ]
Aldinucci, Marco [12 ]
Ed Domenico, Manlio [13 ]
Saffiotti, Alessandro [14 ]
Maratea, Marco [15 ]
机构
[1] Univ Libre Bruxelles, Machine Learning Grp, Comp Sci Dept, Brussels, Belgium
[2] Zurich Univ Appl Sci ZHAW, IEEE Brain Initiat, Geneva Ctr Secur Policy GCSP, CLAIRE Off Switzerland, Winterthur, Switzerland
[3] Vrije Univ Brussel, AI Experience Ctr, AI Common Good Initiat, CLAIRE Off Belgium, Ixelles, Belgium
[4] Pop AI, Turin, Italy
[5] Leiden Univ, Leiden Inst Adv Comp Sci LIACS, Leiden, Netherlands
[6] Univ British Columbia, Vancouver, BC, Canada
[7] Parliament Hill Res Ltd, London, England
[8] Neuromed AI Lab Freiburg, Freiburg, Germany
[9] Vrije Univ Brussel, AI Lab, Brussels, Belgium
[10] Queens Univ Belfast, Fac Med Hlth & Life Sci, Belfast, Antrim, North Ireland
[11] Univ Pisa, Computat Intelligence & Machine Learning Grp, Pisa, Italy
[12] Univ Torino, Comp Sci Dept, Turin, Italy
[13] FBK Fdn Bruno Kessler, Complex Multilayer Networks Lab, Kessler, Italy
[14] Orebro Univ, Sch Sci & Technol, AASS Cognit Robot Syst Lab, Orebro, Sweden
[15] Univ Genoa, Dipartimento Informat, Bioingn, Robot Ingn Sistemi, Genoa, Italy
关键词
Artificial intelligence; COVID-19; Emergency response;
D O I
10.1007/s10676-020-09567-7
中图分类号
B82 [伦理学(道德学)];
学科分类号
摘要
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.
引用
收藏
页码:127 / 133
页数:7
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