The act of using code or data and giving them aesthetic outcomes is the project of the 21st century, the information age. With all of this information and computing power at our disposal, it doesn't seem like we are far from the kinds of machine learning that can autonomously visually impress us if it were even inclined to produce such things. Dr Mitchell Whitelaw of the Australian National University is sceptical about Artificial intelligence being inclined to produce art autonomously in ways we would accept or appreciate but has a thorough understanding of ways this technology can be used to create art with human direction or collaboration. As an expert in generative art, Mitchell's work has looked into the randomness and surprise we can get from code, but it is always the human directing the data for the truly creative work. In this discussion, we drill down into the considerations of generative art, the limitations of AI art, and how representing data is a creative and artistic exercise worthy of cultural appreciation.

Find Mitchell's work on his website, or follow him on Twitter.

This Podcast was Produced by Tim Whiffen of Whimsy Productions in Association with the Art Intelligence Agency, the Australian Institute for Machine Learning, and Sia Furler Institute of the University of Adelaide.

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