Cover Image

Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mushkani, Rashid, Koseki, Shin
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies
by: Mushkani, Rashid, et al.
Published: (2025)

Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
by: Mushkani, Rashid
Published: (2025)

Traceable, Enforceable, and Compensable Participation: A Participation Ledger for People-Centered AI Governance
by: Mushkani, Rashid
Published: (2026)

Co-Producing AI: Toward an Augmented, Participatory Lifecycle
by: Mushkani, Rashid, et al.
Published: (2025)

WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design
by: Mushkani, Rashid, et al.
Published: (2025)

Voices in the Loop: Mapping Participatory AI
by: Mushkani, Rashid
Published: (2026)

The Right to AI
by: Mushkani, Rashid, et al.
Published: (2025)

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
by: Mushkani, Rashid, et al.
Published: (2025)

Prompt Commons: Collective Prompting as Governance for Urban AI
by: Mushkani, Rashid
Published: (2025)

Data-Driven and Participatory Approaches toward Neuro-Inclusive AI
by: Rizvi, Naba
Published: (2025)

From Efficiency to Equity: Measuring Fairness in Preference Learning
by: Gowaikar, Shreeyash, et al.
Published: (2024)

Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
by: Mushkani, Rashid
Published: (2025)

Measuring What Matters: The AI Pluralism Index
by: Mushkani, Rashid
Published: (2025)

Do Vision-Language Models See Urban Scenes as People Do? An Urban Perception Benchmark
by: Mushkani, Rashid
Published: (2025)

AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces
by: Gowaikar, Shreeyash, et al.
Published: (2024)

Prompts for Public-Sector LLMs Should Be Governed as Commons
by: Mushkani, Rashid
Published: (2026)

Collective Recourse for Generative Urban Visualizations
by: Mushkani, Rashid
Published: (2025)

Right-to-Override for Critical Urban Control Systems: A Deliberative Audit Method for Buildings, Power, and Transport
by: Mushkani, Rashid
Published: (2025)

Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA
by: Hosseini, Sanaz Sadat, et al.
Published: (2026)

RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI
by: Kim, Eugene, et al.
Published: (2025)

Inclusivity of AI Speech in Healthcare: A Decade Look Back
by: Larasati, Retno
Published: (2025)

ONION: A Multi-Layered Framework for Participatory ER Design
by: Makovska, Viktoriia, et al.
Published: (2025)

Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence
by: Sudarshan, Vidya K, et al.
Published: (2026)

AIDRIN 2.0: A Framework to Assess Data Readiness for AI
by: Hiniduma, Kaveen, et al.
Published: (2025)

AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities
by: Portegies, Tijs, et al.
Published: (2026)

Exploring AI Capabilities in Participatory Budgeting within Smart Cities: The Case of Sao Paulo
by: Sousa, Italo Alberto, et al.
Published: (2025)

Street-Level AI: Are Large Language Models Ready for Real-World Judgments?
by: Pokharel, Gaurab, et al.
Published: (2025)

Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making
by: Yang, Wenjun, et al.
Published: (2025)

Privacy-Aware Predictions in Participatory Budgeting
by: Zambrano, Juan, et al.
Published: (2025)

Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
by: Unnikrishnan, Balagopal, et al.
Published: (2025)

GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education
by: Perkins, Mike, et al.
Published: (2024)

Assessing the Ecological Impact of AI
by: Wenmackers, Sylvia
Published: (2025)

Assessing the State of AI Policy
by: DeFranco, Joanna F., et al.
Published: (2024)

How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures
by: Zhang, Shan, et al.
Published: (2026)

AI and Human Oversight: A Risk-Based Framework for Alignment
by: Kandikatla, Laxmiraju, et al.
Published: (2025)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
by: Ma, Yingbo, et al.
Published: (2024)

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
by: Ko, Changgeon, et al.
Published: (2024)

A Computational Model of Inclusive Pedagogy: From Understanding to Application
by: Balzan, Francesco, et al.
Published: (2025)

Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
by: Barnett, Julia, et al.
Published: (2025)

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
by: Isley, Calvin, et al.
Published: (2025)