● 일시: 10월 21일 (목) 오후 3 - 5

● 접속 링크: https://snu-ac-kr.zoom.us/j/88146401442

● 발표자: Lev Manovich 교수 (The Graduate Center, City University of New York).

● 주제: Can You Pass a Turing Test? AI, Creativity and Digital Media

● 초록: What would be the equivalent of Turing test for AI that can create TV series, films, music, photographs, art, designs or architecture? The common answer is that if a computer can generate artworks indistinguishable from thees created by human creators, it passes such test. However, this answer does not take into account the fundamentally different conditions of art making in different historical periods. Today media and artistic creation takes place in a digital environment - i.e. it involves use of software apps, stock media and other resources. In my talk, I will argue that this digital environment poses crucial questions for defining a Turing test for “artistic machines.” I will also explain that computers have already passed the artistic Turing test as early as 1966, and therefore this test is no longer relevant. As an alternative, I will propose a harder test for artistic AI. I call it a “Molnár test” - named after Vera Molnár,e of the pioneers of computer art in the 1960s.

● 연사 소개: Dr. Lev Manovich is leading theorist of digital culture, and a pioneer in using big data to study visual culture. He was included in the list of "25 People Shaping the Future of Design" in 2013 and the list of "50 Most Interesting People Building the Future" in 2014. He is the author and editor of 14 books including Cultural Analytics, AI Aesthetics, Theories of Software Culture, Instagram and Contemporary Image, Software Takes Command, Soft Cinema: Navigating the Database and The Language of New Media which was described as "the most suggestive and broad-ranging media history since Marshall McLuhan." Manovich is a Presidential Professor at The Graduate Center, CUNY, and a Director of the Cultural Analytics Lab. The lab created projects for the Museum of Modern Art (NYC), New York Public Library, and other organizations.

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