Inclusive AI and Urban Design

The field of AI is moving towards a more inclusive and accessible direction, with a focus on addressing the needs of people with disabilities and marginalized communities. Recent studies have highlighted the importance of considering the experiences and perspectives of diverse stakeholders in the design and development of AI systems. The use of generative AI in map-making and urban planning has shown promise in democratizing these processes and increasing participation from non-expert users. However, there are still challenges to be addressed, such as the accessibility paradox in tech companies and the need for more structured facilitation approaches in community consultations. Noteworthy papers include: Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers, which integrates vector data to guide map generation in different styles. WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design, which examines how generative text-to-image methods can support equitable consultations.

Sources

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations

The Accessibility Paradox: How Blind and Low Vision Employees Experience and Negotiate Accessibility in the Technology Industry

Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers

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

The Power of Data Communities

RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI

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