20 papers
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…
Pluralistic-Alignment Urbanism: Operationalizing a Right to AI for Inclusive Public Space
Rashid Mushkani
Municipal agencies increasingly use machine learning to inventory sidewalks, score streetscapes, and generate visualizations of public-space interventions. These systems produce ou…