https://rsdmu.com/ https://rsdmu.com/assets/rashid-mushkani-portrait.webp Rashid Mushkani Portrait of Rashid Mushkani https://rsdmu.com/assets/rashid-mushkani-headshot-1x1.jpg Rashid Mushkani Portrait of Rashid Mushkani https://rsdmu.com/assets/rashid-mushkani-headshot-4x3.jpg Rashid Mushkani Portrait of Rashid Mushkani https://rsdmu.com/assets/rashid-mushkani-headshot-16x9.jpg Rashid Mushkani Portrait of Rashid Mushkani https://rsdmu.com/from-efficiency-to-equity-measuring-fairness-preference-learning/ https://rsdmu.com/static/041ac8198f08cad2bda0baf959bef39a/from_efficiency_to_equity.png From Efficiency to Equity: Measuring Fairness in Preference Learning A framework for evaluating and improving epistemic fairness in preference learning models, integrating economic theories of inequality and justice. https://rsdmu.com/scan24-inclusive-algorithmic-assessment-public-spaces/ https://rsdmu.com/static/762f79d419b30a9f199f710c15bd5842/scan24_evaluation.png SCAN’24 Evaluation algorithmique inclusive de la qualité des espaces publics / Inclusive Algorithmic Assessment of the Quality of Public Spaces An exploration of using artificial intelligence to assess the quality of public spaces in Montreal, integrating participatory urban planning to enhance inclusivity and diversity. https://rsdmu.com/ai-edi-space-co-designed-dataset-public-spaces/ https://rsdmu.com/static/de3c18395119917502a3fa1913ce60c2/ai_edi_space.png AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces Development of a co-designed dataset integrating Equity, Diversity, and Inclusion principles for evaluating public space quality using AI and street view images. https://rsdmu.com/co-producing-ai-augmented-participatory-lifecycle/ https://rsdmu.com/static/250f5853868cc267c584ffac09f948e5/augmented.png Co-Producing AI: Toward an Augmented, Participatory Lifecycle Proposes a five-phase augmented AI lifecycle embedding co-production, diversity, equity, and inclusion throughout AI development, based on multidisciplinary workshops and design-justice principles. https://rsdmu.com/public-spaces-developing-countries-post-covid19-kabul/ https://rsdmu.com/static/89612c4147fe866a70b9de66bbbab6e6/kucha_kabul.png Public Spaces of Developing Countries Post COVID-19: A Reflection on Current Situation from Planning Perspective in Case of Kabul City, Afghanistan An examination of the impacts of COVID-19 countermeasures on public spaces in Kabul City, offering planning and design incentives for developing countries to enhance urban resilience. https://rsdmu.com/urban-planning-political-system-public-participation-kabul/ https://rsdmu.com/static/39a97345ecd65f02136ac94c30fbb3ed/sherry.svg Urban Planning, Political System, and Public Participation in a Century of Urbanization: Kabul, Afghanistan An examination of the interplay between centralized and decentralized powers in Kabul's urban planning over the past century, highlighting the role of public participation. https://rsdmu.com/intersecting-perspectives-participatory-street-review-framework-urban-inclusivity/ https://rsdmu.com/static/73a195c629b94cb98a62d5ec656d94ef/intersecting-prespectives.jpg Intersecting perspectives: A participatory street review framework for urban inclusivity Introduces the Street Review method to assess streets through intersectional, participatory evaluations, contrasting pre-occupancy and post-occupancy perspectives to inform inclusive, context-specific design. https://rsdmu.com/the-role-of-land-use-and-vitality-gender-equality-kabul/ https://rsdmu.com/static/f1f859027368b627e00c784388507102/img_40siton.jpg The Role of Land Use and Vitality in Fostering Gender Equality in Urban Public Parks: The Case of Kabul City, Afghanistan A qualitative study exploring the relationship between land use, urban vitality, and gender equality in Kabul's public parks. https://rsdmu.com/measuring-what-matters-ai-pluralism-index/ https://rsdmu.com/static/22740db014697d9e67d2f745d9c05d7f/ai_governance_indicators.png Measuring What Matters: The AI Pluralism Index Introduces the AI Pluralism Index (AIPI), a transparent, evidence-based instrument for evaluating AI governance across participatory governance, inclusivity and diversity, transparency, and accountability. https://rsdmu.com/participation-ledger-people-centered-ai-governance/ https://rsdmu.com/static/8dd1e49fa9451d183437823a9a271ac1/participation-ledger-componenents.png Traceable, Enforceable, and Compensable Participation: A Participation Ledger for People-Centered AI Governance Introduces the Participation Ledger, a machine-readable and auditable framework for making participation in AI governance traceable, enforceable, and compensable. https://rsdmu.com/pluralistic-alignment/ https://rsdmu.com/static/97c88f7caeab55a6a178723185879e44/0_word-cloud-prompts.png LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces Introduces LIVS—a two-year, community-built benchmark (37,710 pairwise judgments over 13,462 images) for multi-criteria, intersectional alignment of text-to-image models in inclusive urban planning. https://rsdmu.com/public-perceptions-montreal-streets-inclusive-public-space-management/ https://rsdmu.com/static/5b5c6b662015e7aa1abfdacd37c1eac1/public-space-management.jpg Public perceptions of Montréal's streets: Implications for inclusive public space making and management Combines interviews, rating/ranking tasks, and small-group deliberation to reveal where perceptions of street quality converge or diverge—and how participatory processes can inform inclusive public space management. https://rsdmu.com/right-ai/ https://rsdmu.com/static/4d0409e5947d92c057ab1057dc182d84/ai-types.png The Right to AI Argues for a 'Right to AI' that treats AI as societal infrastructure and advances participatory governance, collective data stewardship, and stakeholder-led oversight. https://rsdmu.com/mid-space-aligning-diverse-communities-needs-inclusive-public-spaces/ https://rsdmu.com/static/958b106d45f1a890d43a56ca277694c7/mid-space.jpg MID-Space: Aligning Diverse Communities' Needs to Inclusive Public Spaces Introduction of the MID-Space dataset to align AI-generated visualizations of public spaces with diverse human needs and preferences, emphasizing inclusivity and community-driven AI. https://rsdmu.com/spatial-equity-public-parks-kabul/ https://rsdmu.com/static/e4959ea6ca463d3088282a3e6a99b005/spatial_equity.png Spatial Equity of Public Parks: A Case Study of Kabul City, Afghanistan An analysis of spatial equity in public parks within Kabul City, focusing on accessibility, land coverage, and amenity distribution. https://rsdmu.com/street-review-participatory-ai-based-framework-assessing-streetscape-inclusivity/ https://rsdmu.com/static/a6f11db591dc9bd28f969c09ad41c5b9/streetreview.png Street review: A participatory AI-based framework for assessing streetscape inclusivity Presents Street Review, a participatory AI-based framework that combines community input with large-scale street-view analysis to assess streetscape inclusivity in Montréal. https://rsdmu.com/ai-pluralism-index/ https://rsdmu.com/static/e6ef76511798da610ef735bf41a224cb/ai-pluralism.png AI Pluralism Index A public framework for evaluating not just what AI systems can do, but who gets a say in how they are built and governed. https://rsdmu.com/chihilsitoon-garden-project-aga-khan-trust-for-culture/ https://rsdmu.com/static/8198da5e66f6e497ef680e9ca54c8ca6/chihilsitoon_garden_thumbnail.jpeg Chihilsitoon Garden / Aga Khan Trust for Culture Restoration and modernization of Chihilsitoon Garden in Kabul, Afghanistan, integrating modern facilities with historical preservation. https://rsdmu.com/co-producing-ai-evaluating-public-spaces/ https://rsdmu.com/static/2f25f88c4120a259b63a188864f7b799/points_60.png Co-Producing AI for Evaluating Public Spaces A collaborative project utilizing AI to assess and design inclusive public spaces in Montreal, integrating community input and ethical AI practices. https://rsdmu.com/coproducing-ai-augmented-participatory-lifecycle/ https://rsdmu.com/static/03d8914782d1f12686fb1a0b2607a1aa/ai-lifecycle-augmented.gif Build AI With People, Not For Them A five-phase framework for building AI with communities so decisions, risks, and benefits are shared across the lifecycle. https://rsdmu.com/enhancing-inclusivity-public-spaces-ai-university-montreal/ https://rsdmu.com/static/b8cc873d680f549bdf0e7f220ca41dd0/thesis_project.jpg Thesis Project: Street Review & Wedesign Utilizing AI models to assess and design inclusive public spaces in Montreal, fostering community engagement and urban improvement. https://rsdmu.com/livs-pluralistic-alignment/ https://rsdmu.com/static/43af5cd2a1fed3f6dc1a9d6d685dc2c1/icml-livs.png Plural Cities: Modeling Diverse Public Space Preferences at Scale LIVS encodes 37k+ community comparisons to align text-to-image models with local, intersectional priorities for inclusive public spaces. https://rsdmu.com/machine-khana-rehabilitation/ https://rsdmu.com/static/d346c56c2e736d4ddb028317ec55d2f2/machine_khana_thumbnail.jpg Machine Khana Rehabilitation / Aga Khan Trust for Culture Modernization and adaptive reuse of the historic Machine Khana industrial complex in Kabul, contributing to urban regeneration and economic development. https://rsdmu.com/mid-space-dataset/ https://rsdmu.com/static/8f5aa171402c945e113d844c16612451/dpo.png Aligning Diverse Communities’ Needs to Inclusive Public Spaces Introducing the MID-Space dataset, designed to align AI-generated visualizations of public spaces with diverse community needs, focusing on inclusivity, accessibility, and comfort. https://rsdmu.com/participation-ledger-ai-governance/ https://rsdmu.com/static/a442b5523b87ac207619d7d08bf592bd/participation-ledger.png Participation Ledger A framework for turning community input into something durable, auditable, and actionable across the AI lifecycle. https://rsdmu.com/participatory-street-review-framework/ https://rsdmu.com/static/ee9e29b932b15d8966f0a80347046a41/streetview_images.jpg No Street Works for Everyone? A participatory ‘Street Review’ uncovers hidden barriers on Montréal streets—showing why inclusive design needs context, culture, and conversation. https://rsdmu.com/public-perceptions-montreal-streets/ https://rsdmu.com/static/2a3c89b834b2df4e81df9183c81ea455/jum-paper.gif From Aesthetics to Access: How Montréalers Rate Their Streets How Montréal residents rate and rank streets—individually and in small groups—and what that means for managing more inclusive public spaces. https://rsdmu.com/right-to-ai/ https://rsdmu.com/static/708c3960cb12d9b02915eeb9eaf4a7ef/right-to-ai-cover.png AI as Societal Infrastructure A declaration, research agenda, and nonprofit initiative enabling communities to co-design, oversee, and steward AI that shapes daily life. https://rsdmu.com/street-review-ai-maps-of-streetscape-inclusivity/ https://rsdmu.com/static/c479c2d9f79d39eb743e57488f0842ac/montreal-heatmap.png AI Maps of Streetscape Inclusivity A mixed-methods Street Review framework that combines community evaluations with 45,000 street-view images to map how different groups experience Montréal streets. https://rsdmu.com/understanding-public-spaces-citizen-perception/ https://rsdmu.com/static/f78fea85fe878e7e0bc3fae79a98a313/concepts-public-space.png Understanding Public Spaces Through Citizen Perception: A Visual Exploration Visualizing citizen perceptions of Montreal's public spaces to reveal underlying themes, concepts, and opportunities for inclusive urban design. https://rsdmu.com/using-ai-design-inclusive-public-spaces/ https://rsdmu.com/static/91e541f9d8c88329709410ab36f77ea1/who_shapes_the_city.gif Using AI to Design Inclusive Public Spaces A lecture on utilizing artificial intelligence to assess and design inclusive public spaces, presented at the Innovate for Cities conference. https://rsdmu.com/validating-knowledge-intersectoral-research-framework-city-science/ https://rsdmu.com/static/299ee9e9002070cc589be5a8cd80fb43/network.gif Knowledge in Intersectoral Research A framework to validate knowledge in AI, social sciences, and urban planning for credible city science.