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Chapter 12 in Democracy in the era of Artificial Intelligence: Opportunities and Risks
Abstract
While artificial intelligence (AI) offers innovative tools for addressing the global climate crisis, the existing literature lacks a comprehensive evaluation of its real-world implementation challenges and regulatory governance frameworks. To address this critical research gap, this study employs a comparative qualitative methodology, systematically analyzing diverse international case studies to evaluate both the environmental footprints and macro-level forecasting capabilities of widespread AI deployment. It is hypothetically considered that establishing flexible, well-structured national governance strategies can successfully mitigate the ecological costs of computational power while simultaneously maximizing predictive accuracy for complex climate trends. The research findings reveal that current AI initiatives significantly improve predictive precision in environmental modelling, yet they urgently require harmonized policy frameworks to offset their substantial energy consumption. Ultimately, this study provides actionable strategic recommendations for global policymakers to optimize AI integration within broader sustainable development agendas. This study also investigates the environmental impact of AI implementation projects based on international experience.
