Issue Climate, sustainability and social good are under-researched, and poorer countries are outside the network

Summary

This issue identifies two blind spots in current AI research, one about topics and one about who takes part. Machine learning, deep learning and natural language processing dominate the field, leaving AI for climate change, sustainability and social good, particularly for marginalised communities, underdeveloped. The report suggests interdisciplinary collaboration could speed progress in these neglected areas. On participation, strong research ties link dominant players such as the United States and China, but developing nations often struggle to join international AI research. Closing this gap would require fairer access to resources, funding and expertise.