Luca Pappalardo
London E1W 1YW, UK
Portland, ME 04101
2nd floor
11th floor
Boston, MA 02115
2nd floor
London E1W 1LP, UK
Talk recording
Urban environments are increasingly shaped by the coevolution of cities and AI, where human behavior and AI algorithms continuously influence and reshape one another. From navigation services rerouting traffic, to ride-hailing platforms altering mobility patterns, to location-based recommender systems steering foot traffic, AI is becoming a powerful force in urban dynamics. These transformations are often amplified by a feedback loop in which user behaviors generate data that train algorithms, which in turn guide future behaviors, sometimes leading to unforeseen or unintended urban outcomes. Despite its growing significance, this phenomenon remains largely understudied in the fields of AI and complexity science. In this talk, I will explore the methodologies used to quantify the city-AI feedback loop, present approaches to modeling these dynamics, and showcase examples of ongoing research from my lab in this area.