TY - JOUR
T1 - Artificial intelligence, artists, and art
T2 - Attitudes toward artwork produced by humans vs. artificial intelligence
AU - Hong, Joo Wha
AU - Curran, Nathaniel Ming
N1 - Funding Information:
This research is funded by the USC Graduate School and an Annenberg Doctoral Student Summer Research Fellowship. Author’s addresses: J.-W. Hong and N. M. Curran, University of Southern California Annenberg School for Communication and Journalism, Los Angeles, CA 90089 USA; emails: {joowhaho, ncurran}@usc.edu. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2019 Association for Computing Machinery. 1551-6857/2019/07-ART58 $15.00 https://doi.org/10.1145/3326337
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/8
Y1 - 2019/8
N2 - This study examines how people perceive artwork created by artificial intelligence (AI) and how presumed knowledge of an artist's identity (Human vs. AI) affects individuals' evaluation of art. Drawing on Schema theory and theory of Computers Are Social Actors (CASA), this study used a survey-experiment that controlled for the identity of the artist (AI vs. Human) and presented participants with two types of artworks (AI-created vs. Human-created). After seeing images of six artworks created by either AI or human artists, participants (n = 288) were asked to evaluate the artistic value using a validated scale commonly employed among art professionals. The study found that human-created artworks and AI-created artworks were not judged to be equivalent in their artistic value. Additionally, knowing that a piece of art was created by AI did not, in general, influence participants' evaluation of art pieces' artistic value. However, having a schema that AI cannot make art significantly influenced evaluation. Implications of the findings for application and theory are discussed.
AB - This study examines how people perceive artwork created by artificial intelligence (AI) and how presumed knowledge of an artist's identity (Human vs. AI) affects individuals' evaluation of art. Drawing on Schema theory and theory of Computers Are Social Actors (CASA), this study used a survey-experiment that controlled for the identity of the artist (AI vs. Human) and presented participants with two types of artworks (AI-created vs. Human-created). After seeing images of six artworks created by either AI or human artists, participants (n = 288) were asked to evaluate the artistic value using a validated scale commonly employed among art professionals. The study found that human-created artworks and AI-created artworks were not judged to be equivalent in their artistic value. Additionally, knowing that a piece of art was created by AI did not, in general, influence participants' evaluation of art pieces' artistic value. However, having a schema that AI cannot make art significantly influenced evaluation. Implications of the findings for application and theory are discussed.
KW - Art
KW - Artificial intelligence
KW - CASA
KW - Creativity
KW - Human-machine communication
KW - Humancomputer interaction
KW - Schema theory
UR - http://www.scopus.com/inward/record.url?scp=85071105227&partnerID=8YFLogxK
U2 - 10.1145/3326337
DO - 10.1145/3326337
M3 - Journal article
AN - SCOPUS:85071105227
SN - 1551-6857
VL - 15
JO - ACM Transactions on Multimedia Computing, Communications and Applications
JF - ACM Transactions on Multimedia Computing, Communications and Applications
IS - 2s
M1 - 58
ER -