Playing Domains: Codes, Cities, and Cultures in the Viral World of Machine Learning

Hind, Sam

Sam Hind

Sam Hind is Lecturer in Digital Media and Culture at the University of Manchester, UK. He recently published Driving Decisions: How Autonomous Vehicles Make Sense of the World (Palgrave, 2024), on the complex, costly, and contentious quest to automate driving. His most recent journal articles have been published in AI & Society, The Journal of Computer-Mediated Communication, and Convergence. His current research interests include machine vision challenges, autonomous driving, the history of computer simulation, and the platformization of automobility. He was previously research assistant in SFB1187 Media of Cooperation at the University of Siegen, Germany.

Dossiers, no. 3, vol. 10November 10, 2025<November 11, 2025

Playing Domains: Codes, Cities, and Cultures in the Viral World of Machine Learning

Sam Hind

What happens when cities become datasets for AI competitions? Sam Hind shows how machine learning's scoreboards distance practitioners from the real-world impacts of their work.