PERCEPTION OF AI GENERATED ART VS. HUMAN ART
DOI:
https://doi.org/10.66857/q4wsea35Keywords:
Artificial intelligence, AI-generated art, aesthetic perception, the authorship bias, the emotional response, Technology Acceptance Model, human-AI collaborationAbstract
Artificial Intelligence (AI) is spreading fast, and the visual arts have radically changed the image, which
has shaken the traditional idea of creativity, authorship, and originality of emotion. The paper presents the
analysis of the attitudes and perceptions of the AI-generated art by the audience, emotions, and cognition,
the impact of the disclosure of the authorship, and the legitimacy of AI as a creative author. Based on the
Technology Acceptance Model (TAM), the study builds on the model by adding the perceived expressive
usefulness and authenticity as media between the variables to affect the acceptance of AI-generated art.
It has utilized the mixed-methods research design that involved the use of an online survey (n = 61) and
semi-structured interviews (n = 7). The participants evaluated the artworks produced by AI and human
artists, documented their emotional response, rated the artistic value, and believed in the creative validity
of AI. Quantitative information was presented descriptively and in comparative statistics, and the answers
of the qualitative data were coded under themes to depict subtle opinions regarding authenticity, emotional
appeal, and authorship.
The findings indicate that the participants were challenged to be consistent in classify AI-generated and
human-generated pieces of art irrespective of the availability of the author, ship, and this again supports
the idea that technical visual quality cannot be held as an independent predictor of perceived creativity.
aesthetical valuation, emotional engagement, Ent, and perceived authenticity were significantly influenced
by authorship revelation. Though the AI-generated art has attracted interest and fascination, many people
have tended to regard it as impersonal and algorithmically generated, not being meant by an individual.
The paper demonstrates that AI does not know how to create attractive art, even though human will and
emotionality continue to dominate visual work.
The paper contributes to the theoretical discourse of creativity and authorship and human-AI cooperation,
and the willingness of the audience to accept AI as a creative collaborator is mediated by the beliefs in
emotional sincerity and expressive authenticity. In practice, findings inform ways of displaying AIgenerated art within the gallery, online, and educational institutions to create additional engagements and
valuation.
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