AI Art: Aesthetics – Myth or Reality? Open discussion
- Nov 21, 2024
- 3 min read
An open discussion titled “AI Art: Aesthetics – Myth or Reality?“ was held on November 21, 2024, as part of the public program of the AI Hokusai Art & Tech Research Project.
Let's delve into the complexities of AI’s role in shaping the future of art, examining how AI technologies challenge traditional notions of artistic value, creativity, and authorship. This open discussion featured insights from experts, artists, and technologists, shedding light on the rapidly evolving intersection between AI and the visual arts.
The event addressed critical questions such as: Are the aesthetics of AI-generated art a myth, or is there a new visual reality being created by algorithms? How do we evaluate the aesthetic quality of AI art? How does AI impact our perceptions of beauty, originality, and artistic intention?
Speakers
Andres Burbano - Researcher, art educator and interdisciplinary artist. ACM SIGGRAPH 2024 Chair.
Vladimir Opredelenov — Expert in tech innovation and cultural development. CDO of .ART and founder of tech4.art, consulting on digital marketing and tech for the art sector.
Roxana Vazquez, Hyphae Collective - Resident artist
Saint Denis (Denis Semenov) - Resident artist
Moderator - Anna Shvets, AI Hokusai ArtTech Research project curator, CEO of TAtchers’ Art Management
Key ideas
Andres Burbano highlights that the current generative AI boom is deeply rooted in hardware advancements, specifically GPUs originally developed for the video game industry. He explains that the underlying mathematics of AI tools rely on accessible concepts like matrices and vectors, making them deeply intertwined with traditional image processing. He strongly encourages artists to experiment, as engaging with these tools is the only way to truly transform our understanding of technology and visual culture.
Saint Denis (Denis Semenov) explains that AI learns in reverse compared to humans, using a "denoising" process to reconstruct images from random noise rather than combining past real-world experiences. He argues that the true, unique aesthetic of AI actually lies in its mistakes and distortions—like mangled hands or surreal artifacts—which are distinctly machine-made. Furthermore, Denis suggests that since AI is trained exclusively on human-provided data, viewing AI art as "soulless" is essentially a reflection of humanity looking at its own creations and demons in a mirror.
Vladimir Opredelenov predicts that the next major evolution of AI will involve context-aware models that understand history, culture, and specific environments rather than just visual patterns. He also observes a continuous cycle of innovation: as artists invent new, abstract styles that AI cannot currently replicate, AI models are subsequently trained on this new human art, constantly pushing the boundaries of creativity.
Roxana Vasquez views AI not as a final creator, but as one part of a broader artistic workflow, intentionally combining its outputs with software like Blender and TouchDesigner. She draws a powerful historical parallel between AI and the early days of photography; just as early photographers initially imitated classical painting before discovering photography's unique voice, AI art is currently in an experimental phase, searching for its true, independent aesthetic.
Discussion Summary
Ultimately, the panel concludes that AI does not destroy traditional art, but introduces a powerful new medium with its own unique characteristics. The imperfections, glitches, and logical "mistakes" of generative models are actively forming a new visual aesthetic, comparable to how the technical limitations of early printing presses contributed to the art of their time.
As artists continue to experiment and integrate AI with other digital tools, the technology serves as both a collaborator and a mirror reflecting human culture.
The consensus is that embracing this transformative process is essential, as human artists remain the key experimenters and "prophets" who will define the future of digital visual culture.