Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections
arXiv:2606.09006v1 Announce Type: cross Abstract: Both digital economy and digital technology researchers increasingly recognize the need to better address the role that artificial intelligence (AI) plays in shaping the evolution of the environmental, social and governance aspects of development. It appears that sustainability and AI research converge on the features of wicked problems that are complex, interconnected and dynamic. Building off such convergence, this article aims to map out the necessary, challenging, and promising intersections by providing an overview of the state of art rese
The increasing scale and impact of AI necessitate a deeper understanding of its environmental, social, and governance implications, especially as sustainability becomes a core business and policy imperative.
This research highlights the complex intertwining of AI's rapid development with critical sustainability challenges, demanding integrated strategies from policymakers, developers, and businesses.
The focus expands from simply leveraging AI for sustainability to critically assessing AI's own footprint and ethical considerations within ESG frameworks.
- · ESG-focused AI developers
- · Sustainability consultancies
- · Environmental research institutions
- · Policymakers developing AI regulations
- · AI companies ignoring ESG impacts
- · Industries with high AI adoption and low sustainability standards
Increased pressure on AI developers to consider environmental and social costs alongside performance metrics.
Emergence of new regulatory frameworks or industry standards for 'sustainable AI' development and deployment.
Reallocation of investment towards AI projects that demonstrate clear positive sustainability impacts and manage negative externalities.
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