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Via generative adversarial networks (GANs), artificial intelligence (AI) has influenced many areas, especially the artistic field, as symbol of a human task. In human-computer interaction (HCI) studies, perception biases against AI, machines, or computers are generally cited. However, experimental evidence is still lacking. This paper presents a wide-scale experiment in which 565 participants are asked to evaluate paintings (which were created by humans or AI) on four dimensions: liking, perceived beauty, novelty, and meaning. A priming effect is evaluated using two between-subject conditions: Artworks presented as created by an AI, and artworks presented as created by a human artist. Finally, the paintings perceived as being drawn by human are evaluated significantly more highly than those perceived as being made by AI. Thus, using such a methodology and sample in an unprecedented way, the results show a negative bias of perception towards AI and a preference bias towards human systems.
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Martin Ragot
Nicolas Martin
Salomé Cojean
Université d'Angers
Institut de Recherche Technologique B-com
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Ragot et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69d81ff0617ce96c42ae3095 — DOI: https://doi.org/10.1145/3334480.3382892
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