Bias in Favour or Against Computational ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation
Author(s) :
Deguernel, Ken [Auteur]
Department of Speech, Music and Hearing [KTH Stockholm] [KTH TMH]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sturm, Bob [Auteur]
Department of Speech, Music and Hearing [KTH Stockholm] [KTH TMH]

Department of Speech, Music and Hearing [KTH Stockholm] [KTH TMH]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sturm, Bob [Auteur]
Department of Speech, Music and Hearing [KTH Stockholm] [KTH TMH]
Conference title :
International Conference on Computational Creativity
City :
Waterloo
Country :
Canada
Start date of the conference :
2023-06-20
English keyword(s) :
Computational Creativity
Bias
Evaluation
Music generation
Text generation
Image generation
Socio-cultural context
Bias
Evaluation
Music generation
Text generation
Image generation
Socio-cultural context
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
English abstract : [en]
This paper surveys 27 published studies exploring bias in the evaluation of computational creativity. These studies look specifically at the involvement of AI, in generating music, images and graphics, poetry, and news ...
Show more >This paper surveys 27 published studies exploring bias in the evaluation of computational creativity. These studies look specifically at the involvement of AI, in generating music, images and graphics, poetry, and news articles. While some have found evidence of bias (43%), others find no bias (27%), or show modulation of bias through socio-cultural factors (30%) resulting in a lack of consensus on this issue. We argue for the importance of taking into account socio-cultural context when considering such biases in these creative pursuits. What styles do the artefacts belong to? Who are the participants involved in the study, and what are their relationships to the styles at hand? We discuss the implications of such considerations for future research in computational creativity. We propose some safeguards when conducting a study on bias in the evaluation of computational creativity, and propose directions to study more specifically when, and with whom it can be observed.Show less >
Show more >This paper surveys 27 published studies exploring bias in the evaluation of computational creativity. These studies look specifically at the involvement of AI, in generating music, images and graphics, poetry, and news articles. While some have found evidence of bias (43%), others find no bias (27%), or show modulation of bias through socio-cultural factors (30%) resulting in a lack of consensus on this issue. We argue for the importance of taking into account socio-cultural context when considering such biases in these creative pursuits. What styles do the artefacts belong to? Who are the participants involved in the study, and what are their relationships to the styles at hand? We discuss the implications of such considerations for future research in computational creativity. We propose some safeguards when conducting a study on bias in the evaluation of computational creativity, and propose directions to study more specifically when, and with whom it can be observed.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
European Project :
Collections :
Source :
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