most citedWeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.HC20252 cited

WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design

Rashid Mushkani, Hugo Berard, Shin Koseki

Community consultations are integral to urban planning processes intended to incorporate diverse stakeholder perspectives. However, limited resources, visual and spoken language ba…

cs.AI2025

Co-Producing AI: Toward an Augmented, Participatory Lifecycle

Rashid Mushkani, Hugo Berard, Toumadher Ammar +2

Despite efforts to mitigate the inherent risks and biases of artificial intelligence (AI) algorithms, these algorithms can disproportionately impact culturally marginalized groups.…

cs.HC2025

Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies

Rashid Mushkani, Hugo Berard, Shin Koseki

Urban assessments often compress diverse needs into single scores, which can obscure minority perspectives. We present a community-centered study in Montreal (n=35; wheelchair user…

cs.CV2025

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces

Rashid Mushkani, Shravan Nayak, Hugo Berard +3

We introduce the Local Intersectional Visual Spaces (LIVS) dataset, a benchmark for multi-criteria alignment, developed through a two-year participatory process with 30 community o…

cs.CY2025

The Right to AI

Rashid Mushkani, Hugo Berard, Allison Cohen +1

This paper proposes a Right to AI, which asserts that individuals and communities should meaningfully participate in the development and governance of the AI systems that shape the…