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The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center
dc.contributor.author | Cortés García, Claudio Ulises |
dc.contributor.author | Cortés Martínez, Atia |
dc.contributor.author | Garcia Gasulla, Dario |
dc.contributor.author | Pérez Arnal, Raquel Leandra |
dc.contributor.author | Álvarez Napagao, Sergio |
dc.contributor.author | Álvarez Lacalle, Enrique |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2021-05-12T08:55:22Z |
dc.date.available | 2022-05-06T00:27:53Z |
dc.date.issued | 2022-05 |
dc.identifier.citation | Cortés, U. [et al.]. The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center. "AI and ethics", Maig 2022, vol.2, núm. 2, p. 325-340. |
dc.identifier.issn | 2730-5953 |
dc.identifier.uri | http://hdl.handle.net/2117/345484 |
dc.description.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. |
dc.format.extent | 16 p. |
dc.language.iso | eng |
dc.publisher | Springer Science and Business Media LLC |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | COVID-19 (Disease) |
dc.subject.lcsh | High performance computing |
dc.subject.lcsh | Big data |
dc.subject.lcsh | Ethics |
dc.subject.other | Artifcial intelligence |
dc.subject.other | Machine learning |
dc.subject.other | Data protection |
dc.title | The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center |
dc.type | Article |
dc.subject.lemac | COVID-19 (Malaltia) |
dc.subject.lemac | Càlcul intensiu (Informàtica) |
dc.subject.lemac | Dades massives |
dc.subject.lemac | Ètica |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos |
dc.identifier.doi | 10.1007/s43681-021-00056-1 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s43681-021-00056-1 |
dc.relation.publisherversion | https://rdcu.be/ckteJ |
dc.rights.access | Open Access |
local.identifier.drac | 31286774 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Cortés, U.; Cortés, A.; García, D.; Pérez, R.; Álvarez-Napagao, S.; Álvarez-Lacalle, E. |
local.citation.publicationName | AI and ethics |
local.citation.volume | 2 |
local.citation.number | 2 |
local.citation.startingPage | 325 |
local.citation.endingPage | 340 |
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