AI-Augmented Commons Governance: Ethical Rulemaking and Enforcement for Sustainable Resource Management in Rural Areas

Abstract

Artificial intelligence (AI) is emerging as a potentially transformative tool for addressing complex challenges facing the governance of common-pool resources (CPRs) in rural communities. Building on Elinor Ostrom’s design principles and drawing on the United Nations’ Sustainable Development Goals (SDGs) 13, 15, and 16, we argue that AI technologies such as natural language processing, remote sensing, and machine learning can support participatory rulemaking, efficient monitoring, and proportional enforcement of local institutions in the commons. Through case studies from Kenya, Peru, and India, we show how AI can democratize decision-making and enhance local institutions if designed in ways that reflect human oversight and community co-design. We offer a conceptual framework for applying AI to commons governance, drawing on principles of ethical AI design, data sovereignty, and implementation within the contexts of the commons. We conclude that AI can be a valuable technology for common governance, but only when it augments, rather than displaces, the judgment and agency of the commons communities.