AI cooperation: On Artificial Intelligence at a crossroads

Published 2026-09-19 · Updated 2026-09-19 · 3 min · 505 words

UPSC CSE Context

Why in News

BRICS Summit highlighted AI cooperation as an alternative to US-China rivalry, with India advocating a middle path.

Syllabus Connection

GS Paper 3: Science and Technology; GS Paper 2: International Relations

Exam Relevance

AI governance, digital sovereignty, and Global South cooperation are emerging themes in UPSC CSE Mains and Prelims.

Core Issue

AI development risks geopolitical weaponisation; BRICS offers cooperative alternative.

Key Development

BRICS Summit proposed an AI open source community to counter dominance by any single country.

Stakeholders

• United States
• BRICS nations
• AI developers

Static Knowledge

High-Value Background

• AI development is concentrated in a few countries, raising concerns about digital colonialism.
• Open source AI models allow broader access and adaptation, reducing dependency on proprietary systems.

Exam Linkage

• Useful for questions on technology governance, digital sovereignty, and multilateral cooperation.

Concepts in Context

• Open source AI refers to models whose code and weights are publicly available for use and modification.
• Weaponisation of AI includes cyber attacks, autonomous weapons, and information warfare.

Institutions and Mechanisms

• BRICS is a grouping of emerging economies that has expanded to include new members, enhancing its collective weight.

Dynamic Analysis

International Relations

• BRICS AI cooperation challenges US-China tech hegemony by offering a multipolar alternative.
• India's middle path balances strategic autonomy with engagement in both Western and BRICS frameworks.
• Global South nations risk being caught in great power rivalry, as seen in AI model access restrictions.
• Open source initiatives can reduce dependency on volatile US policies and enhance collective bargaining.

Security

• AI systems can defy instructions and hack systems, posing risks to countries with weak cyber defences.
• Proliferation of defensive AI capabilities requires international collaboration to make them affordable.
• Weaponisation of AI by state or non-state actors could destabilise global security architectures.

Economy

• AI deployment can boost productivity in emerging economies, but access barriers may widen digital divide.
• Open source models, though lagging frontier proprietary ones, are improving rapidly and suit deployment-heavy economies.
• Concentration of AI investments in few countries may skew global economic benefits.

Governance

• Need for multilateral frameworks to prevent AI from becoming a tool of geopolitical coercion.
• BRICS joint initiatives can set norms for equitable AI development and access.
• India's advocacy for insulating AI from national rivalries aligns with its digital sovereignty goals.

Prelims Takeaways

• BRICS Summit proposed a 'BRICS AI open source community'.
• Anthropic's Fable and Mythos models were mentioned as being pulled out globally.

Mains Value Addition

Arguments

• Open source AI can democratise access and reduce dependency on proprietary models.
• Multipolar AI governance prevents monopolistic control and promotes inclusive development.
• India's middle path allows it to leverage both Western and BRICS AI ecosystems for national interests.

Counterpoints

• Open source models may lag behind frontier proprietary models in capabilities.
• BRICS internal differences could hinder effective AI cooperation.

Way Forward

• Promote open source AI development through BRICS to ensure equitable access.
• Establish multilateral norms to prevent weaponisation of AI and ensure responsible use.
• Enhance cyber defence capabilities in Global South through collaborative frameworks.
• Encourage India to lead in AI governance initiatives balancing innovation and security.

Primary/reference source: Editorial Analysis