SUSTAINABLE ECONOMICS THROUGH AI: PROMOTING GREEN TECHNOLOGIES AND SUSTAINABLE DEVELOPMENT

Sustainable economic thought in artificial intelligence (AI) research emphasizes the integration of environmental, social, and economic considerations into AI development and deployment. This paper explores the potential of AI technologies to address global challenges, such as resource optimization, energy efficiency, and equitable wealth distribution, while minimizing environmental degradation and social disparities. By fostering innovations like predictive analytics for sustainable supply chains and energy-efficient AI models, researchers can create systems that align technological progress with long-term sustainability goals. The paper also delves into ethical considerations, advocating for frameworks that prioritize transparency, inclusivity, and equity in AI-driven economic models. A multidisciplinary approach is essential to balance economic growth with environmental conservation, ensuring AI contributes positively to global development. Through case studies and empirical analysis, the research highlights successful applications of sustainable AI practices across industries, providing a roadmap for policymakers and researchers. This study underscores the need for collaborative efforts between academia, industry, and governments to harness AI's transformative potential while safeguarding future generations' needs. The findings aim to inspire the AI research community to adopt sustainability as a core principle in their endeavors.