Trustworthy AI for Recommender Systems

This project, funded by SFI’s National Challenge Fund (OurTech Challenge), aims to develop a simulation framework to investigate how micro-video recommendation algorithms (e.g., YouTube Shorts, TikTok) influence user behavior across diverse user groups. By modeling these platforms, we will evaluate the impact of their algorithms on user engagement, shifting preferences, and potential risks. The framework prioritizes explainability, fairness, harm reduction, and trust, with the overarching goal of informing the design of transparent, user-aligned recommendation systems that foster long-term well-being and trustworthy AI.