Policy analysis with generative pre-trained transformers: the future of north-eastern Italian families

This study describes the results of the application of artificial intelligence models (GPT-4), to analyze and extract insights from family policy documents across four regions in northeastern Italy, between 2018 and 2022. Optimizing natural language processing techniques, we efficiently identified regional policy initiatives, common family issues, and potential policy recommendations. Findings highlight the advantages of AI-driven policy analysis, demonstrating its ability to rapidly process large volumes of legal documents and generate actionable insights. Some key regional differences seem to emerge, reflecting varied socio-economic priorities, such as digital inclusion, substance abuse prevention, and economic assistance. The study underscores the transformative potential of AI in policy-making, promoting further advancements.