Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
AI Research
arXiv CS.AI·Jun 9·5 min read
Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections
TL;DR
Researchers identified a gap in understanding how artificial intelligence (AI) influences sustainability across environmental, social, and governance dimensions. They analyzed 541 bibliographic entries from the Web of Science to map the intersections of AI and sustainability research.
✦ Why It Matters
Engineers and researchers can leverage AI to create innovative solutions for sustainability challenges across various sectors.
Key Takeaways
- Investigate AI applications in environmental governance.
- Foster interdisciplinary partnerships for sustainability projects.
- Identify new areas for AI integration in social responsibility.
- Encourage institutional support for AI-driven sustainability initiatives.
Full Summary
The convergence of artificial intelligence (AI) and sustainability is becoming crucial as both fields grapple with complex, interconnected issues known as wicked problems. A review of 541 bibliographic entries from the Web of Science reveals a growing body of work focused on green and sustainable science and technology.
This research highlights how AI can play a necessary, challenging, and promising role in advancing sustainability efforts across various disciplines. Key topics include the integration of AI in environmental governance and social responsibility.
The findings suggest that expanding the community of practice around AI for sustainable development is essential, particularly in identifying new application areas and fostering institutional support. The article concludes with recommendations for diversifying engagement in this interdisciplinary field.