Human Creativity vs. Machine Creativity

Abstract

Traditionally, computer programs have used artificial intelligence to emulate human creativity. In the 1990s, however, a new approach developed called computational creativity. It involved a bottom-up approach. In this approach, the computer program works by learning heuristics from the data it receives. Various fields of research have been utilizing generative adversarial networks (GANs) to mimic creativity. It has been done in multiple areas, such as medicine, dental practices, cybersecurity, and art. GANs have shown tremendous promise for creativity. However, the field has also been plagued with some design flaws. In this chapter, the authors talk about machine-led creative innovations and possible challenges to overcome.