This PhD project explores methods and governance frameworks to ensure fairness, transparency, and regulatory compliance of AI algorithms embedded in socio-technical systems, with a specific focus on Civic Digital Twins. It aims to develop metrics, auditing approaches, and design guidelines to detect and mitigate bias, enhance accountability, and support trustworthy decision-making in public-sector, citizen-centric environments.