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Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities

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Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities

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Martínez-Plumed, F.; Tolan, S.; Pesole, A.; Hernández-Orallo, J.; Fernández-Macías, E.; Gómez, E. (2020). Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. Association for Computing Machinery (ACM). 94-100. https://doi.org/10.1145/3375627.3375831

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/178198

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Title: Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities
Author: Martínez-Plumed, Fernando Tolan, Songül Pesole, Annarosa Hernández-Orallo, José Fernández-Macías, Enrique Gómez, Emilia
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated ...[+]
Subjects: Labour market , Tasks , AI intensity , AI impact , AI benchmarks , Simulation
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-4503-7110-0
Source:
AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
DOI: 10.1145/3375627.3375831
Publisher:
Association for Computing Machinery (ACM)
Publisher version: https://doi.org/10.1145/3375627.3375831
Conference name: Third AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES 2020)
Conference place: New York, USA
Conference date: Febrero 07-08,2020
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094403-B-C32/ES/RAZONAMIENTO FORMAL PARA TECNOLOGIAS FACILITADORAS Y EMERGENTES/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094403-B-C32/ES/RAZONAMIENTO FORMAL PARA TECNOLOGIAS FACILITADORAS Y EMERGENTES/
info:eu-repo/grantAgreement/FLI//RFP2-152/
info:eu-repo/grantAgreement/EC//CT-EX2018D335821-101/
info:eu-repo/grantAgreement/UPV//PAID-06-18/
info:eu-repo/grantAgreement/UPV-VIN//SP20180210//A collaboratory for the evaluation, comparison and classification of Artificial Intelligence/
info:eu-repo/grantAgreement///PROMETEO%2F2019%2F098//DEEPTRUST/
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Thanks:
This material is based upon work supported by the EU (FEDER), and the Spanish MINECO under grant RTI2018-094403-B-C3, the Generalitat Valenciana PROMETEO/2019/098. F. Martínez-Plumed was also supported by INCIBE (Ayudas ...[+]
Type: Comunicación en congreso Capítulo de libro

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