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Publications3d ago85% confidenceConfidence 85% — the share of independent, credible sources corroborating the core facts.

Sustainability and Artificial Intelligence: Research Overview of Intersections and Applications

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A bibliometric analysis of 541 research papers from the Web of Science database examines how artificial intelligence and sustainability research intersect as complex, interconnected challenges. The study identifies key topics, journals, and concepts bridging multiple disciplines in green and sustainable technology. The findings suggest expanding the AI for sustainable development community across new application areas and institutions.

Researchers conducted a systematic review of 541 bibliographic records to map the intersection between artificial intelligence and sustainability research. Both fields increasingly recognize wicked problems—complex, interconnected, and dynamic challenges—as central to their work. The analysis reveals a growing body of research on green and sustainable science and technology that bridges various academic disciplines and identifies key journals and concepts in the field. The study characterizes these intersections as necessary (addressing real sustainability challenges), challenging (due to complexity), and promising (offering potential solutions). The authors conclude by recommending strategies to diversify and expand the community of practice in AI for sustainable development, particularly by identifying new application areas and engaging additional institutions.

What's missing

The paper does not provide specific examples of AI applications in sustainability, detailed findings on which application areas show most promise, or quantitative metrics on how the intersection of AI and sustainability research has grown over time.

What different sources said

  • Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections

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