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Can Artificial Intelligence Make Art?: Folk Intuitions as to whether AI-driven Robots Can Be Viewed as Artists and Produce Art


Mikalonytė, Elzė Sigutė; Kneer, Markus (2022). Can Artificial Intelligence Make Art?: Folk Intuitions as to whether AI-driven Robots Can Be Viewed as Artists and Produce Art. ACM Transactions on Human-Robot Interactio, 11(4):1-19.

Abstract

In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human paintings as art to roughly the same extent. However, people are much less willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots.

Abstract

In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human paintings as art to roughly the same extent. However, people are much less willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:01 Faculty of Theology > Center for Ethics
06 Faculty of Arts > Institute of Philosophy
Dewey Decimal Classification:170 Ethics
Language:English
Date:31 December 2022
Deposited On:16 May 2022 08:04
Last Modified:09 Oct 2022 07:38
Publisher:ACM Digital library
ISSN:2573-9522
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3530875
Project Information:
  • : FunderSNSF
  • : Grant IDPZ00P1_179912
  • : Project TitleReading Guilty Minds
  • Content: Accepted Version