- -

Listar por autor "Tolan, Songül"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Tolan, Songül"

Ordenar por:Orden:Resultados:

  • thumb
    Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities 
    Martínez-Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández-Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Association for Computing Machinery (ACM), 2020-02-08)
    [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 ...
  • thumb
    Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities (Appendix) 
    Martínez Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Universitat Politècnica de València, 2020)
    This appendix contains supplementary material of the paper "Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities", in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society ...
  • thumb
    Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks 
    Tolan, Songül; Pesole, Annarosa; Martínez-Plumed, Fernando; Fernández-Macías, Enrique; Hernández-Orallo, José; Gómez, Emilia (AI Access Foundation, 2021-06-09)
    [EN] In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on occupations. This framework maps 59 generic tasks from worker surveys and an occupational database to 14 cognitive ...