Artificial Intelligence (AI) for Local Governance: Initial Experiments in Utilizing AI for Developing Village Tourism Regulations

Abstract

 This study explores the use of artificial intelligence (AI) in the formulation of local regulations in tourist villages, with a case study in Wonokitri Village, Pasuruan Regency. The growth of tourism activities requires village governments to produce adaptive and evidence-based policies that balance economic development, cultural preservation, and social cohesion. However, limited administrative personnel and insufficient analytical capacity often slow down the regulatory drafting process. This research employs a qualitative approach combined with a conceptual Natural Language Processing (NLP) experiment to simulate how AI can assist in identifying policy issues, mapping community aspirations, and detecting overlapping regulatory provisions. The findings indicate that AI has the potential to function as a decision support system that accelerates data processing and expands public participation through participatory data analysis. Nevertheless, successful implementation depends on institutional readiness, digital literacy, and cultural alignment. AI should not replace local deliberation practices, but instead strengthen them by providing structured information that supports more inclusive and reflective decision-making.