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NEALE WILLIS




I am particularly interested in creating conflict between what enters the machine and what leaves it. By manipulating data to create ambiguities within the certainties of the digital realm, it’s possible to breed uncertainty from the usually reassuring definite of binary data, letting repetition and replication take form as a rhythm from the space in-between the known and unknown.





A few hours later we had left the dream motorway behind 98.6x32.9cm
motorway journey, AI, inkjet print on paper, acrylic paint




My work crosses a variety of mediums from sound and sculpture to image and video. Frequently site specific, my work seeks and remoulds data into tangible outcomes.

Helen Oyeyemi observes that “when you retell a story... bits of it hold up, and bits of it crumble and then new perspectives come through”.




Untitled
AI, layered laser print on paper, acrylic paint





At one point the three of us walked into woods 60.4x21cm
government advisor, AI, layer laser print on paper, acrylic paint



These works are a proposal between artist and an artificial intelligence.

To begin, the artist asks the machine to create an imagined scene. But AIs are ‘idiots’, all they know is brute force of thought, to look for repeating patterns, to bludgeon their way to a conclusion. What the image contains is of no interest to the machine, that it is data is enough.

Now let us have an algorithm ask the artist to consider the same image on its terms, to paint what the machine instructs. But we are “idiots”, unable to follow simple instructions.




My dream house is simple yet it is a house where I think I can live happily and comfortably with my family 98.6x32.9cm
estate agent listings, AI, inkjet print on pape




What is left is a meeting of excess and reduction where the machine is asked to imagine what there isn’t and the artist is asked to exclude to the detriment of the image. Neither artist nor machine knows the content of the image.



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chris.hough@citylit.ac.uk    /  fine art 2020 city lit london  /    amanda.knight@citylit.ac.uk