Investigating the negative bias towards artificial intelligence: Effects of prior assignment of AI-authorship on the aesthetic appreciation of abstract paintings

作者：

Highlights：

• Human-declared vs. AI-declared authorship of abstract paintings negatively influences aesthetic appreciation towards AI.

• The use of abstract paintings attenuates the overall negative bias in the appreciation of AI-declared artworks.

• Negative bias towards an AI-declared abstract artwork emerges when it is implicitly compared to a human-declared one.

• Electrophysiological activity indicates that participants spontaneously compare two paintings even with no explicit request.

• A priori available information about the authorship of an artwork is a key factor in aesthetic evaluation and appreciation.

摘要

•Human-declared vs. AI-declared authorship of abstract paintings negatively influences aesthetic appreciation towards AI.•The use of abstract paintings attenuates the overall negative bias in the appreciation of AI-declared artworks.•Negative bias towards an AI-declared abstract artwork emerges when it is implicitly compared to a human-declared one.•Electrophysiological activity indicates that participants spontaneously compare two paintings even with no explicit request.•A priori available information about the authorship of an artwork is a key factor in aesthetic evaluation and appreciation.

论文关键词：Artificial intelligence (AI),Creativity,Aesthetic appreciation,Authorship,Abstract paintings,Top-down processes

论文评审过程：Received 16 February 2022, Revised 24 June 2022, Accepted 16 July 2022, Available online 19 July 2022, Version of Record 4 August 2022.

论文官网地址：https://doi.org/10.1016/j.chb.2022.107406