UN-Habitat collaborated with Mila to produce a policy paper on the application of artificial intelligence in urban contexts. The paper, 'AI in Cities: Risks, Applications and Governance', takes a risk-based approach, highlighting the risks of AI throughout its lifecycle and application in cities, and provides a set of recommendations for developing an AI strategy.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceA comprehensive guide designed to help cities and communities leverage digital technologies for sustainable development. The toolkit, developed with 13 UN entities, provides practical strategies and tools through 12 modules covering topics from governance to smart manufacturing.
Activity Type Research/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/Advocacy
UNITAC developed BEAM, a model that uses machine learning to accelerate the spatial recognition of informal settlements and building structures on aerial imagery. The tool provides up-to-date geo-referenced base maps and includes a technology and knowledge transfer component to build capacity.
Mapping a community inherently makes it “legible” to public authorities. Doing so can have tremendous advantages for the planning and allocation of critical public health and infrastructure services, especially in slum settlements. However, such data collection must respect both the privacy of residents and their unique cultural dynamics.
A new workstream was established to understand the needs of cities and the capabilities of UN System organizations in relation to AI. The objectives are to leverage AI for people-centered smart cities, promote ethical guidelines, and strengthen inter-agency cooperation. The project is kicking off a global assessment of responsible AI use in cities.
Activity Type Research/Reports/AssessmentsNetworks/Mentorship/ExchangePolicy/Regulatory Guidance