The Claire covid-19 initiative: Approach, experiences and recommendations

Ethics and Information Technology 23 (S1):127-133 (2021)
  Copy   BIBTEX

Abstract

A volunteer effort by Artificial Intelligence 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.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 74,247

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Educating ethically during COVID-19.Bryan C. Pilkington, Victoria Wilkins & Daniel Brian Nichols - 2021 - International Journal of Ethics Education 6 (1):177-193.
Ethical Allocation of Future COVID-19 Vaccines.Rohit Gupta & Stephanie R. Morain - 2021 - Journal of Medical Ethics 47 (3):137-141.

Analytics

Added to PP
2021-02-10

Downloads
11 (#837,563)

6 months
1 (#415,205)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references