Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation
Résumé
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.
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