For many decades, most scientists have used algorithms for creating art, commonly regarded as ‘algorithmic art’. By this means, scientists can write an algorithm while keeping the output in mind, with all the specifications built into the same algorithm. The first-ever attempt to create art in this way was made by Harold Cohen (1928-2016), a British artist who developed the AARON program. The program generated multiple artistic images which Cohen had not fed into it. Instead, Cohen used various body elements and objects to teach the association between them. In brief, art was developed by human beings as a way of understanding who they are and the multiple components present in their societies. Using AI in art enables artists to express the inexpressible and communicate beyond bare words.
With the increasing technological innovations, artists are left with no choice but to tap into the opportunities and take full advantage. In most cases, artificial intelligence machines may be applied when devices exhibit similar thoughts as the human mind through problem-solving and learning. There is a need to confirm that AI affects creativity. Simulating human intelligence in computer machines are programmed to think the same way as humans, not for mimic their actions, and affect their natural thinking capacities, but to encourage them to break boundaries for more generative ideas.
One of the contemporary pioneers of machine learning is Memo Akten (2018). He is using machine learning to reflect humanity and to explore how human makes sense of the world. He represented images that have essential concepts in human life, downloaded from Flickr tagged with some words almost contained everything like: world, the universe, mountains, flowers, art, life, love, god, etc. Then he programmed the machine to “imagine” new images based on all those images to create a new world of landscapes, objects and ideas that have never seen before. The result is a breathtaking journey to train a machine how to imagine concepts core to our existence.
Another innovator artist is Sofia Crespo; She is interested in biology-inspired technologies. She is concerned with the dynamic change in the role of the artists working with machine learning techniques and focusing on exploring how organic life uses artificial mechanisms to simulate itself and evolve. It is to imply the idea that technologies are a biased product of organic life to create them and not a completely separated object.
Refik Anadol is a lecturer, researcher, media artist and director known for transforming architectural spaces into giant canvases for live media arts. He creates site-specific public art and data sculptures, often paired with live audio/visual performances and immersive installations. His body of work addresses the challenges and possibilities of ubiquitous computing and what it means to be a human in the age of machine intelligence. Anadol is intrigued by how the digital age and machine intelligence allow for a new aesthetic technique to create enriched immersive environments that offer a dynamic perception of space.
Matt Woodham works across disciplines in visual neuroscience at The University of Nottingham. Currently, He is working with code and electronic circuits to create experimental video and music, web design and interactive audio-visual installations. Through his research, he has evolved into a practice in broader interdisciplinary on the brain and its complex system. His opinion about the interdisciplinary space between art, science and technology that it can provide the possibilities for inducing both wonderment and socio-cultural advancement. Using science as the ground, technology as the tool and art as the expression.