Artificial intelligence and future scenarios: Preliminary results from an application on family policies in north-eastern Italy

Anticipatory governance, as explored in this study, is a multifaceted approach that integrates statistical analysis, sociological insights, and artificial intelligence (AI) to proactively address future challenges in family policies. This paper investigated the application of anticipatory governance within the context of family policies in Northeastern Italy, considering advanced AI models, specifically GPT-4, to facilitate the extraction, analysis, and proposal of relevant policies across four distinct regions. The research underscored the efficacy of AI-driven natural language processing techniques in rapidly analyzing extensive collections of administrative documents. This approach allowed for the swift identification of both current policies and emerging needs, demonstrating that tasks which traditionally require extensive human effort can now be executed in a fraction of the time and with negligible financial cost.