Summary
This paper critiques the 'smart city' narrative, arguing that AI-driven urban algorithms perpetuate systemic inequities due to biased data collection and a lack of intersectional perspectives. It advocates for integrating gender and equity perspectives into urban data systems to improve city health and sustainability.
Author(s)
B Janjusevic
Publication Year
2019