Artificial Intelligence in Art

Artificial intelligence (AI) is a form of computational creativity for developing software which reflects human beings’ creative traits. AI art has advanced considerably since 2014 following the development of generative adversarial networks (GANs) by Ian Goodfellow et al. The introduction of machine learning algorithms led to the development of better images for display. A timeline documenting AI art and how the artistic journey has advanced and evolved can be found at AIArtist.org.

Academic research has shown that human brain simulation technology provides an opportunity for artwork to be improved and to become dynamic. Human beings are now positioned on the edge of a fresh frontier which can twist their ways of perceiving and creating art. AI is changing the dynamic nature of the creative processes. Artists believe that they must develop better and more reproductive relationships with computers in order to boost their creativity levels. Rather than perceiving machines as mere tools for assisting human creators, artists now consider AI to be a creative entity in its own right. AI acts as a creative collaborator as opposed to a mere passive tool.

This human/computer interaction is provoking many questions: How does machine learning sustain an artist’s expression? How can the public interact with AI as an artwork? How can an artist be inspired by a recent phenomenon to create an original and contemporary artwork? How can art and medicine interact be perceived as creative behaviour? How can interdisciplinary artwork interpret human phenomena?

Several artists and scientists have put their minds together to explore multiple computer algorithms for creating art and increasing machines’ creativity and overall intelligence. Alongside these developments, several critics have questioned whether introducing machinery into art is truly a way of introducing competition or enhancing human creativity. According to Dr Ahmed Elgammal, the core founder and manager of the Art and Artificial Intelligence Laboratory at Rutgers, today’s world has dynamically constrained human imagination and creativity. Machines are therefore essential for and competent in assessing and exploring these dynamic possibilities. Without an adequate opportunity for invention, creativity remains highly elusive. So anyone using AI can advance his/her artistic work and expand creative ideas.