Mundane Urban Governance and AI Oversight: The Case of Vienna's Intelligent Pedestrian Traffic Lights

Abstract

ABSTRACT This article examines the implications of integrating Artificial Intelligence (AI) into urban infrastructures, using Vienna's Intelligent Pedestrian Traffic Light (IPTL) as a focal point. As cities globally embrace AI, Urban AI (UAI) emerges, reshaping urban life. The central inquiry is: How does AI in urban governance alter urban spaces, and what new political dynamics arise? The IPTL, a UAI exemplar, uses advanced surveillance and algorithms to enhance pedestrian signaling, aiming to reduce jaywalking and optimize traffic. Through mixed-methods, combining theoretical and empirical approaches, the study delves into expert narratives, public perceptions, and the technology's design. It uncovers the transformative effects of such technologies on urban spaces and human–vehicle interactions. Findings highlight that while the IPTL promises urban governance advancements, it may overlook diverse urban needs, as seen in the neglect of the visually impaired. The research accentuates the imperative for a more encompassing, inclusive lens in AI-centric urban endeavors, underscoring the significance of recognizing and addressing the myriad rhythms and requirements of all urban residents. The article culminates in a call for a reconstructivist perspective on UAI, championing the democratization of urban realms and foregrounding pedestrian-centric visions in upcoming mobility ventures.