Abstract

With the development of new artificial neural networks like generative models, it is increasingly important to talk about whether these systems are truly creative. But in order to have a conversation about the creative capabilities of these systems, it is important to first identify, quantify and define their creative intelligence. It is also crucial to talk about the tasks generative systems like the DALL E and Stable Diffusion cannot perform as opposed to the tasks that we, as humans, can. Some tasks that are akin to humans in terms of creative intelligence are those wherein an artist draws from her subjective experiences of her inner life to generate a work of art. But when it comes to generative models, they do not have an inner life of experiences. The art these systems generate is a mere coalescing of information. Now the question persists, does having an inner life of subjective experiences really matter when it comes to the creation of artwork? In this talk, I attempt to explore the question of whether quantifying creative intelligence in generative models could lead to understanding how phenomenal contents of conscious experience are necessary in creating art that is sublime.