The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems

This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person’s identity, emotions, demographic attributes) or newly generated imager...

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Detalles Bibliográficos
Autores: Hupont, Isabelle, Tolan, Songül, Gunes, Hatice, Gómez Gutiérrez, Emilia, 1975-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/55995
Acceso en línea:http://hdl.handle.net/10230/55995
http://dx.doi.org/10.1038/s41598-022-14981-6
Access Level:acceso abierto
Palabra clave:Computational science
Computer science
Software
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spelling The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systemsHupont, IsabelleTolan, SongülGunes, HaticeGómez Gutiérrez, Emilia, 1975-Computational scienceComputer scienceSoftwareThis work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person’s identity, emotions, demographic attributes) or newly generated imagery (e.g. with modified facial attributes). Facial processing tasks, such as face detection, face identification, facial expression recognition or facial attribute manipulation, are generally studied as separate research fields and without considering a particular scenario, context of use or intended purpose. This paper studies the field of facial processing in a holistic manner. It establishes the landscape of key computational tasks, applications and industrial players in the field in order to identify the 60 most relevant applications adopted for real-world uses. These applications are analysed in the context of the new proposal of the European Commission for harmonised rules on AI (the AI Act) and the 7 requirements for Trustworthy AI defined by the European High Level Expert Group on AI. More particularly, we assess the risk level conveyed by each application according to the AI Act and reflect on current research, technical and societal challenges towards trustworthy facial processing systems.This work is partially supported by the European Commission under the HUMAINT project of the Joint Research Centre. H. Gunes is supported in part by the EPSRC under grant ref. EP/R030782/1 and by the European Union’s Horizon 2020 Research and Innovation program project WorkingAge under grant agreement No. 826232. The authors would like to thank Irina Orssich, Yordanka Ivanova and Gabriele Mazzini for relevant discussions on the AI Act.Nature Research202320232022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/55995http://dx.doi.org/10.1038/s41598-022-14981-6reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésScientific Reports. 2022;12:10688.https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-022-14981-6/MediaObjects/41598_2022_14981_MOESM1_ESM.pdfinfo:eu-repo/grantAgreement/EC/H2020/826232© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third-party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/559952026-05-29T05:05:01Z
dc.title.none.fl_str_mv The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
title The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
spellingShingle The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
Hupont, Isabelle
Computational science
Computer science
Software
title_short The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
title_full The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
title_fullStr The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
title_full_unstemmed The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
title_sort The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
dc.creator.none.fl_str_mv Hupont, Isabelle
Tolan, Songül
Gunes, Hatice
Gómez Gutiérrez, Emilia, 1975-
author Hupont, Isabelle
author_facet Hupont, Isabelle
Tolan, Songül
Gunes, Hatice
Gómez Gutiérrez, Emilia, 1975-
author_role author
author2 Tolan, Songül
Gunes, Hatice
Gómez Gutiérrez, Emilia, 1975-
author2_role author
author
author
dc.subject.none.fl_str_mv Computational science
Computer science
Software
topic Computational science
Computer science
Software
description This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person’s identity, emotions, demographic attributes) or newly generated imagery (e.g. with modified facial attributes). Facial processing tasks, such as face detection, face identification, facial expression recognition or facial attribute manipulation, are generally studied as separate research fields and without considering a particular scenario, context of use or intended purpose. This paper studies the field of facial processing in a holistic manner. It establishes the landscape of key computational tasks, applications and industrial players in the field in order to identify the 60 most relevant applications adopted for real-world uses. These applications are analysed in the context of the new proposal of the European Commission for harmonised rules on AI (the AI Act) and the 7 requirements for Trustworthy AI defined by the European High Level Expert Group on AI. More particularly, we assess the risk level conveyed by each application according to the AI Act and reflect on current research, technical and societal challenges towards trustworthy facial processing systems.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/55995
http://dx.doi.org/10.1038/s41598-022-14981-6
url http://hdl.handle.net/10230/55995
http://dx.doi.org/10.1038/s41598-022-14981-6
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Scientific Reports. 2022;12:10688.
https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-022-14981-6/MediaObjects/41598_2022_14981_MOESM1_ESM.pdf
info:eu-repo/grantAgreement/EC/H2020/826232
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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