Mar 2026· arXiv.org· Vol abs/2604.16348· 0 citations· 152 references
Computer Science
TL;DR
A conceptualization of LLMs as dialogue partners complementing a shared information baseline, causal evidence that this baseline shapes those conversations, an account of how citizens use and judge factual versus reflective agent roles, and a method for cities to test information packages and agent configurations before public release are contributed.
Abstract
LLMs are increasingly explored for public participation, but less is known about how they should be designed around the information citizens encounter beforehand. In an experiment (N=200) on participatory urban planning, participants learned about a sustainability project adapted from a real street redesign, through text and images or narrated 360-degree video with spatial audio and spatial anchoring; they subsequently engaged with factual and reflective LLM personas. The immersive condition improved recall and changed what participants said to the agents: they named beneficiaries more often, asked directionally more project-related questions, and provided more positive feedback. We contribute (1) a conceptualization of LLMs as dialogue partners complementing a shared information baseline, (2) causal evidence that this baseline shapes those conversations, (3) an account of how citizens use and judge factual versus reflective agent roles, and (4) a method for cities to test information packages and agent configurations before public release.
Two interrelated problems shape contested urban-planning procedures: a structural asymmetry between institutional initiators and the affected citizens, and a chronic lack of motivation among citizens to engage with procedurally framed participation formats. We ask how AI can support the personal, often emotional, narra...
T. Kahl, Frank Zimmer, Marwin Wiegard et al.· EGOV-CeDEM-ePart 2026· 0 citations
Cities are beginning to use AI not only to analyze public space, but also to define what counts as evidence about it. This thesis asks what follows when scores, maps, and generated images become part of municipal decision-making. I argue that contemporary urbanism operates through two coupled infrastructures: the mater...
With the advancement of digital technologies, Digital Twins have emerged as a promising tool in urban planning and governance. Their ability to replicate, simulate, and manage city systems positions them as a foundational component of the Digital Twin City (DTC) paradigm. However, most current implementations remain te...
A VR-supported participation approach that reuses existing urban planning data to support spatial communication, consultation, and post-implementation reviews in urban planning workflows appears promising as a complementary tool for information provision, consultation, and reflection.
Marc Schwarzkopf, Miriam Reichert, Holger Hoffmann et al.· Urban Planning· 0 citations
Brief, low-cost in-class activities can introduce undergraduates to urban planning and sustainable mobility, although few studies measure what one achieves. As generative AI (GenAI) enters planning practice, we compare two ways of delivering one: a conversational GenAI agent that generates imagery as it speaks, and a h...
Koichi Ito, Suhana Challa, Justin Song et al.· Journal of Geography in High...· 0 citations
As drones become integrated into urban contexts, stakeholders such as city planners and drone operators must collaborate to plan, regulate, and execute operations. However, many lack a shared understanding of drone capabilities, regulatory processes, and planning requirements, leading to coordination challenges. This p...
Jekaterina Basjuka, J. Löwgren, Carl A. L. Westin et al.· Proceedings of the 2026 Euro...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.