Unleashing Sustainable AI: Navigating Environmental, Social, and Economic Dimensions for a Responsible Future

Madhu Kumar

Abstract


The sustainability of Artificial Intelligence (AI) has become a critical concern as its adoption continues to grow across industries. This paper explores the multidimensional aspects of AI sustainability, including environmental, social, and economic considerations. We delve into the environmental impact of AI, examining energy consumption, carbon emissions, and the potential for AI to contribute to climate change mitigation and adaptation. We also analyze the social implications of AI, focusing on issues of equity, inclusivity, and the ethical use of AI systems. Additionally, we investigate the economic dimensions of AI sustainability, exploring the potential for job displacement, economic inequality, and the need for skill development in the AI era. The paper highlights various strategies and initiatives aimed at enhancing the sustainability of AI, such as developing energy-efficient algorithms, promoting transparency and accountability, fostering interdisciplinary collaborations, and establishing regulatory frameworks. By integrating sustainability principles into AI research, development, and deployment, we can harness the transformative potential of AI while minimizing its negative impacts. This paper serves as a valuable resource for researchers, policymakers, and stakeholders seeking to navigate the complex landscape of AI sustainability and work towards a sustainable and inclusive AI-powered future.

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