Issue Climate, sustainability and social good are under-researched, and poorer countries are outside the network
Summary
The report names two blind spots at once: subject matter, where machine learning, deep learning and natural language processing crowd out AI for climate change, sustainability and social good for marginalised communities, and participation, where developing nations struggle to enter international AI research even as ties between the United States and China stay strong.
Classification
Main topicAI & Computing
Region menusGlobal
Impactscope:global
Time horizon4-10 years (2026-07-26)
Last updated2026-07-29 04:49:52
Evidence 2
- The impact of Artificial Intelligence on our societies European Commission, Directorate-General for Research and Innovation (Directorate D - People: Health and Society, Unit D3 - Health and Societal Transitions); edited by Ewa Luger and Marianthe Stavridou page=9;section=2.2 Identifying gaps in existing research 2026 accessed 2026-07-26
- The impact of Artificial Intelligence on our societies European Commission, Directorate-General for Research and Innovation (Directorate D - People: Health and Society, Unit D3 - Health and Societal Transitions); edited by Ewa Luger and Marianthe Stavridou page=9;section=2.2 Identifying gaps in existing research 2026 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-1024ed5e8fdf