2023
AI in the Public Eye: Investigating Public AI Literacy Through AI Art
2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, Illinois, United States | June 2023
Recent advances in diffusion models and large language models have underpinned a new generation of powerful and accessible tools, and some of the most publicly visible applications are for artistic endeavour. Such tools, however, provide little scope for deeper understanding of AI systems, while the growing public interest in them can eclipse notice of the vibrant community of artists who have long worked with other forms of AI. We explore the potential for AI Art – particularly work in which AI is both tool and topic – to facilitate public AI literacies and consider how tactics developed before the current generative AI boom have continued relevance today. We look at the strategies of critical AI artists to scaffold public understanding of AI and enhance legibility for non-experts. This paper also investigates how collaborations between artists and AI researchers and designers can illuminate key technical and social issues relevant to the development of AI. The study entailed workshops between three professional artists who work with AI and a cross-disciplinary set of academic participants.
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Repeating and remembering: the associations of GANs in an art context
31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. | December 2017
Abstract: Briefly considering the lack of language to talk about GAN generated art in an art context, I look how GANs and training sets should be considered in the same manner that other materials are in art pieces. I will look at the potential associations of training sets and GANs, in particular pix2pix, and how I have attempted to embed these associations in my own work.
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