Dr Ian Truelove
Leeds School of Arts
Leeds Beckett University


Recent projects:  

Experimental AI artworks: These artworks were created by first painting images by hand, very slowly, over hundreds of hours. These paintings were then bred very quickly into a multitude of variations using various AI image engines. The resulting artworks are both slow and human, and fast and algorithmic. No text prompts were input into the AI engine – the only direction provided was in the form of the original handmade paintings. 

Blockchain data visualisations: These animated artworks were created using variety of experimental algorithms that were made to sample public domain historical paintings. 

Trading cards: EOS blockchain transaction data determine the nature of transitions between pairs of trading cards originally issued in the late 1800s. 

The above artworks are on Voice, here:  

voice.com/iantruelove



Older artworks  

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Trading cards on OpenSea: Ethereum transaction data drive transitions between trading cards:  

The Stars of the Stage series

The Boxing Positions series

The Acresses series

The Histories of Poor Boys and Famous People series

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Bitcoin merkle roots — drawings and paintings generated from Bitcoin data

SARS-CoV-2 — a non-scientific visualisation of Covid-19 variant sequences   

FoamAR — an AR artwork for Inscription, the Journal of Material Text

Skinscape — a VR artwork on Steam

Human-Machine — two stories co-authored with an AI engine.


Academia profile

leedsbeckett.academia.edu/iantruelove


LinkedIn profile

linkedin.com/in/iantruelove


University profile

leedsbeckett.ac.uk/staff/dr-ian-truelove


Instagram

ian.truelove


OpenSea

opensea.io/iantruelove


PhD

bit.ly/truelovephd