The Indian National Science Academy (INSA) convened the first meeting of the BRICS Science Academies Forum 2026 as part of India's BRICS Presidency 2026
Theme: "Harnessing Artificial Intelligence for Sustainable Development and Strengthening Global South Cooperation"
Participating nations: Brazil, China, Egypt, Ethiopia, Indonesia, Russia, South Africa, Belarus, Nigeria, and Vietnam (10 nations total)
Meeting was moderated by Prof. Debashis Mitra, Vice President (International), INSA
India's BRICS Presidency 2026 theme: "Building for Resilience, Innovation, Cooperation and Sustainability"
Key outcomes: Draft declaration on AI for Science and Sustainable Development reviewed and strengthened
Consensus reached on: shared computing infrastructure, collaborative data platforms, and multilingual AI models
Second onsite meeting scheduled for July 22-23, 2026 at IIT Hyderabad
Prof. Ambuj Sagar, Founding Head, School of Public Policy, IIT Delhi presented the draft declaration
Declaration addresses unequal distribution of AI capacity and digital divide between developed and developing nations
China (Chinese Academy of Sciences) recommendations: collaborative AI readiness benchmarks, scientific data-sharing frameworks, open-source infrastructure, responsible AI evaluation mechanisms
Egypt (ASRT) recommendations: AI applications for food security, healthcare, education, energy, climate change; greater investments in research and capacity building
Indonesia recommendations: AI for disaster risk management, climate mitigation, early warning systems, greenhouse gas reduction, sustainable agriculture
Ethiopia recommendations: cooperation on cybersecurity, digital safety, combating cross-border cybercrime; higher education and research partnerships
Vietnam recommendations: joint task forces, thematic working groups, shared digital public infrastructure, joint training programs
Nigeria recommendations: AI applications for scientific innovation, governance, and national development priorities
South Africa recommendations: AI for future generations, concerns about costs and social sciences dimensions, endorsement of open-source AI model
Belarus recommendations: responsible AI use with emphasis on healthcare innovation, data security, advanced cybersecurity measures
Cross-cutting consensus themes identified by Prof. Anurag Agrawal: shared computing infrastructure; open data ecosystems; technology sovereignty; energy-efficient data centres; human resource development; multilingual AI resources
CSIR–NIScPR (scientific and technological information policy research institute of CSIR) participated in deliberations