Measuring the occupational impact of AI: tasks, cognitive abilities and AI benchmarks (extended abstract)

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Tolan, Songül
• dc.contributor.author Pesole, Annarosa
• dc.contributor.author Martínez-Plumed, Fernando
• dc.contributor.author Fernández-Macías, Enrique
• dc.contributor.author Hernández-Orallo, José
• dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
• dc.date.accessioned 2023-02-15T07:21:26Z
• dc.date.available 2023-02-15T07:21:26Z
• dc.date.issued 2022
• dc.description Comunicació presentada a Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), celebrat del 23 al 29 de juliol de 2022 a Viena, Àustria.
• dc.description.abstract We present a framework for analysing the impact of AI on occupations. This framework maps 59 generic tasks from different occupational datasets to 14 cognitive abilities and these to a comprehensive list of 328 AI benchmarks used to evaluate research intensity in AI. The use of cognitive abilities as an intermediate layer allows for an identifcation of potential AI exposure for tasks for which AI applications have not been explicitly programmed. We provide insights into the abilities through which AI is most likely to affect jobs, and we show how some of the abilities where AI research is currently very intense are linked to tasks with comparatively limited labour input in the labour markets of advanced economies
• dc.format.mimetype application/pdf
• dc.identifier.citation Tolan S, Pesole A, Martínez-Plumed F, Fernández-Macías E, Hernández-Orallo J, Gómez E. Measuring the occupational impact of AI: tasks, cognitive abilities and AI benchmarks (extended abstract). In: de Raedt L, editor. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22): Journal Track; 2022 Jul 23-29; Vienna, Austria. [California]: IJCAI Organization; 2022. p. 5777-81. DOI: 10.24963/ijcai.2022/809
• dc.identifier.doi http://dx.doi.org/10.24963/ijcai.2022/809
• dc.identifier.uri http://hdl.handle.net/10230/55770
• dc.language.iso eng
• dc.publisher International Joint Conferences on Artificial Intelligence Organization
• dc.relation.ispartof de Raedt L, editor. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22): Journal Track; 2022 Jul 23-29; Vienna, Austria. [California]: IJCAI Organization; 2022. p. 5777-81.
• dc.relation.isreferencedby https://github.com/nandomp/AIlabour
• dc.rights © 2022 International Joint Conferences on Artificial Intelligence. This is the published version of a paper available at https://doi.org/10.24963/ijcai.2022/809 that appeared in the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword AI Ethics
• dc.subject.keyword Trust
• dc.subject.keyword Fairness
• dc.subject.keyword Societal Impact of AI
• dc.subject.keyword Ethical, Legal and Societal Issues
• dc.subject.keyword Machine Learning
• dc.subject.keyword Evaluation
• dc.subject.keyword Multidisciplinary Topics and Applications
• dc.subject.keyword Economics
• dc.title Measuring the occupational impact of AI: tasks, cognitive abilities and AI benchmarks (extended abstract)
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion