Art and AI

     
Abstract

“So what is art?” When I asked a friend of mine, Liang Zhang, who is a contemporary artist, he considered for a while and replied carefully – “Something that can move me.” I like his opinion because this general and completely subjective principle leaves a large working space for computer-based system, in particular, AI. In fact, recent AI has already showed a lot of interesting and successful stories. For instance, Elgammal et al of the Art & AI Laboratory at Rutgers University proposed an AI based system for “generating ‘Art’ by learning about styles and deviating from style norms”, and they showed that “human subjects could not distinguish art generated by the proposed system from art generated by contemporary artists and shown in top art fairs” (June 23, 2017, https://arxiv.org/abs/1706.07068). In this talk, we will provide a survey of the recent art & AI stories, including our working project in creating art-like works using the latest AI technologies.

Prof. Liang Zhao

Associate Professor, the Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University
 Short bio 

Dr. Liang Zhao graduated from Tsinghua University, China, in 1995, with B.S. (Dept. Applied Math.) and B.E. (Dept. Computer Science and Technology) degrees, then from Kyoto University in 1999 with M.E. (Dept. Applied Mathematics and Physics) degree, and in 2002 with Doctor of Informatics (Dept. Applied Mathematics and Physics). He worked as an Assistant professor with Dept. Engineering, Utsumoniya University, Japan, from April 2002 to March 2006, Senior Lecturer with Graduate School of Informatics, Kyoto University from April 2006 to March 2014, Guest Professor with Karlsruhe Institute of Technology (KIT), Germany, from April 2013 to Feb. 2014, and he is an associate professor with Graduate School of Advanced Integrated Studies in Human Survivability (also known as Shishukan), Kyoto University since April 2014. His research interests include applied algorithms for graph and network problems, combinatorial optimizations, Big Data, AI (Artificial Intelligence), AW (Artificial Wisdom) and their applications. He is a member of IEEE, ACM, IEICE and ORSJ. His latest information can be found at
http://www.gsais.kyoto-u.ac.jp/staff/liang/.