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Do you want to get hit by a car? Then move like a GTA character! 

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Abstract

This contribution presents a fictional script in the form of a conversation between two former law students on their podcast, Learned Friends. The dialogue revolves around an incident involving a self-driving car designed to predict pedestrian movements, exploring the legal complexities arising from the integration of predictive technologies in the justice system. The script was used as narration for a film that was featured in Precursing, a solo exhibition by the author at Matt’s Gallery in October 2023. As part of this issue of Documenta, the artist has included annotations that connect the fictional narrative to the research underpinning it. These annotations touch upon topics such as the Hammersmith Ghost case and issues of mistaken belief, the prohibition of photography and radio broadcasts following the Lindbergh baby kidnapping trial, the infiltration of artistic technologies into formal and bureaucratic sectors, the training and testing of self-driving cars in Grand Theft Auto, and the introduction of predictive technologies in judicial processes. Through this work, the author seeks to explore how the use of emerging technologies in storytelling impacts their application in fields where information accuracy is paramount. 

Keywords: NPC, Predictive Algorithms, Simulation, Fiction

How to Cite:

Davies, N., (2025) “Do you want to get hit by a car? Then move like a GTA character! ”, Documenta 42(1): 11, 311–327. doi: https://doi.org/10.21825/documenta.93278