인간, AI, 미술의 시각작업: M. 폴라니의 ‘암묵적 차원’을 통한 고찰

In contemporary visual work, human, AI technology, and art processes are convergent and interactive. These media conditions require a more expanded perspective and understanding of human cognitive ability and senses, creativity, expertise, and artistic criteria. In this context, my research explores the basis for judging the relationship between a creation by humans and a visualization by technology, focusing on Michael Polanyi’s theory of Tacit Dimension and Roy Lichtenstein’s Comic Pop Art. First, I explain Polanyi’s theory, which illuminates the tacit dimension of human knowledge and performance. Then I discuss computer science’s development direction and limitations through three paradoxes (Menon’s paradox, Polanyi’s paradox, and Moravec’s paradox). Next, I analyze a tacit dimension and creativity in Lichtenstein’s paintings which appropriate the comic cuts. These include his ability to comprehensively read the art world based on accumulated artistic practices and experimentations and his strategy of presenting new creativity in the painting by intentionally choosing technical imitation instead of the artist’s autonomy. Today’s Image-generating AI learns from data that labels Lichtenstein’s paintings as his visual elements and artistic patterns. In that respect, generative AI machine learning takes Lichtenstein’s creative characteristics from the process he trained the mechanical vision and imitated the technical expressions of printed comics by hand. In conclusion, my paper suggests an interdisciplinary understanding of the loop interactive paradigm of humans, technology, and art and the tacit dimension of artists.