Developing urban AI solutions for and with the community
Understanding how AI systems can contribute to improving the quality of life of people living in cities is key to providing the right direction for AI and digital technologies’s design and application.
In this mentoring session, Antoine Congost (IVADO) and Samuel Kohn (Open North) will explore a needs-centred approach to urban AI solutions, for and with vulnerable communities at the neighbourhood scale.
The Urban AI initiative (or IA Urbaine, in French) demonstrates how the AI risk framework presented in the UN-Habitat’s white paper AI & Cities (2022) can be applied in practice, and provides a valuable example of a people-centered approach to AI and community engagement.
What to expect
The mentoring session will include the presentation of the methodology findings and outcomes, developed by the University of Montréal and Open North, which includes:
1. Description of the project and methodology of the needs assessment approach
2. Overview of neighbourhood needs
3. Links with AI systems
4. Considerations for developing people-centered urban AI solutions
This mentoring session is intended to provide participants with ideas, tools and recommendations to plan, develop and implement their own needs-assessment approaches to urban AI solutions.
Join us on April 24th at 15:00 CET (GMT +2) – register here: https://forms.gle/jD3BtxvGPM9mfejT7
