Rahul Kailas Bharati
Abstract
Artificial intelligence (AI) is rapidly transforming various sectors, and its intersection with environmental law presents both unprecedented opportunities and complex challenges for green governance. This paper provides a foundational analysis of this evolving nexus, exploring how AI technologies can be leveraged to enhance environmental protection, monitoring, and regulatory compliance, while simultaneously examining the inherent risks and ethical considerations associated with their deployment. The study employs a qualitative methodology, drawing upon a comprehensive review of existing literature, policy documents, and emerging case studies to identify key themes and patterns. Findings indicate that AI offers significant potential in areas such as real-time pollution detection, optimized resource management, biodiversity tracking, and predictive analytics for environmental hazards. However, the increasing energy consumption, electronic waste generation, and potential for algorithmic bias associated with AI development necessitate robust legal and ethical frameworks. The paper delves into the implications of these advancements for modern environmental law, advocating for dynamic and adaptive governance structures that can effectively integrate AIâs capabilities while mitigating its adverse impacts. It highlights the critical need for interdisciplinary collaboration among technologists, policymakers, legal scholars, and environmental scientists to shape a responsible and sustainable algorithmic frontier for green governance. This analysis contributes to a deeper understanding of the transformative role of AI in environmental stewardship and underscores the urgency of developing proactive regulatory strategies to ensure its alignment with ecological sustainability goals.