The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming environmental compliance monitoring, offering opportunities for real-time detection of regulatory violations. Traditional monitoring methods, reliant on periodic inspections and self-reporting, often fail to capture environmental harms as they occur, weakening enforcement effectiveness. Digital tools—ranging from IoT-enabled sensors to satellite imagery and machine learning algorithms—allow regulators to continuously track emissions, effluents, and land-use changes with unprecedented accuracy. This paper discusses the technological foundations and feasible solutions of AI and IoT in environmental governance regarding the cost to enforce and increase transparency. It also explores legal and ethical considerations of the adoption of digital compliance systems, the requirement of data privacies, admissibility of evidence during facets of enforcement, and cross-border data disclosure. By using case studies and pilot projects, the research suggests such a governance framework to enshrine digital compliance check into statutory regimes without impairing accountability and legitimacy. The results indicate the possibility of changing regulatory enforcement via AI and IoT-powered surveillance, assuming that the issues of fairness, reliability, and institutional adjustment are resolved successfully.
Paul Ebohsetale Atamewan (Fri,) studied this question.
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