AI Framework Balances Fairness and Personalization in Urban Data Collection

Researchers introduce MAPUS, an LLM-based system that uses autonomous agents to recruit participants for urban sensing tasks while respecting individual preferences and ensuring fair treatment. The approach improves participant satisfaction and coverage compared to centralized methods, advancing more equitable crowdsourced urban data collection.