Mario Blaum, John L. Fan, et al.
IEEE International Symposium on Information Theory - Proceedings
Creativity is often thought of as the pinnacle of human achievement, but artificial intelligence (AI) is now starting to play a central role in creative processes, whether autonomously or in collaboration with people. Widespread deployment is now pushing for explanations on how creative AI is working, whether to engender trust, enable action, provide a basis for evaluation, or for intrinsic reasons. In this article, we review various motivations, algorithms, and methods for explaining either the workings of generative/creative AI algorithms or the generative/creative artifacts they produce.
Mario Blaum, John L. Fan, et al.
IEEE International Symposium on Information Theory - Proceedings
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
Karthik Visweswariah, Sanjeev Kulkarni, et al.
IEEE International Symposium on Information Theory - Proceedings
Daniel J. Costello Jr., Pierre R. Chevillat, et al.
ISIT 1997