Assessing Emotion and Sensitivity of AI Artwork

Author:

Agudo Ujué,Arrese Miren,Liberal Karlos G.,Matute Helena

Abstract

Artificial Intelligence (AI) is currently present in areas that were, until recently, reserved for humans, such as, for instance, art. However, to the best of our knowledge, there is not much empirical evidence on how people perceive the skills of AI in these domains. In Experiment 1, participants were exposed to AI-generated audiovisual artwork and were asked to evaluate it. We told half of the participants that the artist was a human and we confessed to the other half that it was an AI. Although all of them were exposed to the same artwork, the results showed that people attributed lower sensitivity, lower ability to evoke their emotions, and lower quality to the artwork when they thought the artist was AI as compared to when they believed the artist was human. Experiment 2 reproduced these results and extended them to a slightly different setting, a different piece of (exclusively auditory) artwork, and added some additional measures. The results show that the evaluation of art seems to be modulated, at least in part, by prior stereotypes and biases about the creative skills of AI. The data and materials for these experiments are freely available at the Open Science Framework: https://osf.io/3r7xg/. Experiment 2 was preregistered at AsPredicted: https://aspredicted.org/fh2u2.pdf.

Funder

Basque Government

Publisher

Frontiers Media SA

Subject

General Psychology

Reference35 articles.

1. David Cope: ‘You pushed the button and out came hundreds and thousands of sonatas’. The guardian;Adams,2010

2. The influence of algorithms on political and dating decisions;Agudo;PLoS One,2021

3. Task-dependent algorithm aversion. J;Castelo;Mark. Res.,2019

4. Putting the art in artificial: aesthetic responses to computer-generated art;Chamberlain;Psychol. Aesthet. Creat. Arts,2018

5. The first piece of AI-generated art to come to auction. Christie’s,2018

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