This article aims to stimulate thoughtful engagement with
the philosophical and cultural implications of AI's influence on aesthetics. By
examining AI as an embodiment of beauty, this study contributes to the ongoing
dialogue on how technological advancements necessitate a revision of
established beauty norms. Artificial Intelligence (AI) was considered as an
object of beauty through philosophical lenses. The author explores how AI
redefines aesthetic norms.
The study traces the evolution of beauty from Platonic
ideals to contemporary interpretations, arguing that AI's emergence offers a
unique illustration of beauty in the modern age. The article delves into the
philosophical foundations of beauty, examining historical perspectives and
extending this analysis to contemporary theories. Arguments in favor of AI as a
manifestation of beauty include its innovative capabilities, the extension of
human creativity, and the objective patterns of beauty it can produce.
Counterarguments highlight the absence of emotional resonance, the overemphasis
on form, and the potential loss of authenticity. The article also compares AI
with divine intelligence, discussing parallels and distinctions in terms of
intangibility and the human quest for understanding.
The research methodology involves a comprehensive literature
review, philosophical analysis, and comparative study of classical and modern
aesthetic theories. Key sources include works by Plato, Aristotle, Kant, and
contemporary scholars in AI and aesthetics. The study area focuses on the
intersection of AI, aesthetics, and philosophy, aiming to provide a holistic
understanding of AI's potential to be perceived as beautiful.
Future research directions include investigating subjective
experiences of individuals interacting with AI-generated art, examining
cultural influences on the perception of AI's aesthetic value, and developing
new metrics for evaluating the beauty of AI systems.
Author(s) Details
Vadim Meyl
Central European University, Vienna, Austria.
Please see the link:- https://doi.org/10.9734/bpi/cpassr/v2/944
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