23 papers
The urban right to AI: Pluralistic co-design and governance of public space
Rashid Mushkani
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…
Evidence-Grounded Constraint Checking in Construction Documents
Rashid Mushkani, Hugo Berard, Shin Koseki
Professional-document review is a constraint-checking problem in which decisions depend on relations among text, geometry, pages, and document revisions. We present an evidence-gro…
AI Pluralism and the Worlds It Misses
Rashid Mushkani
AI pluralism is often framed as a problem of representing diverse values, preferences, users, or outputs. This paper argues that this framing is incomplete because AI systems also…
Prompts for Public-Sector LLMs Should Be Governed as Commons
Rashid Mushkani
This paper argues that prompts used to deploy large language models (LLMs) in public-sector settings should be treated as governed artefacts rather than private, transient inputs.…
Benchmarks for Vision-Language Models in Urban Perception Should Be Reliability-Aware and Negotiated
Rashid Mushkani
Vision-language models (VLMs) are increasingly used to generate structured descriptions of street-level imagery for tasks such as streetscape auditing, mapping, and public consulta…
Voices in the Loop: Mapping Participatory AI
Rashid Mushkani
Participatory approaches to artificial intelligence are increasingly documented across public, civic, and humanitarian settings, but evidence about how participation is organized r…