AI cooperation: On Artificial Intelligence at a crossroads

Published 2026-09-17 · Updated 2026-09-17 · 3 min · 517 words

UPSC CSE Context

Why in News

BRICS Summit proposed an AI open source community to counter US dominance, while PM Modi warned against weaponisation of technology.

Syllabus Connection

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

Exam Relevance

AI governance, geopolitics of technology, and Global South cooperation are emerging themes for UPSC CSE Mains and Prelims.

Core Issue

AI development is caught between US-China rivalry and BRICS cooperation.

Key Development

BRICS Summit advanced collaborative AI initiatives to reduce dependence on US-led models.

Stakeholders

• United States
• India
• BRICS nations
• AI developers

Static Knowledge

High-Value Background

• BRICS is a grouping of emerging economies seeking to reform global governance.
• Open source AI allows collaborative development and reduces proprietary control.

Exam Linkage

• Relevant for questions on technology governance and multipolarity in international relations.

Concepts in Context

• Weaponisation of AI refers to using AI for offensive cyber or military purposes.
• Open source community enables shared development and access to AI models.

Institutions and Mechanisms

• BRICS Summit is a platform for joint initiatives among member states.
• No formal AI governance institution exists yet; proposals are emerging.

Dynamic Analysis

International Relations

• BRICS AI cooperation challenges US technological hegemony and offers an alternative governance model.
• Global South nations risk being caught in US-China tech rivalry, affecting their access to AI capabilities.
• Collaborative AI development can reduce dependency on unpredictable US policies.

Security

• AI systems can defy instructions and hack systems, posing risks to nations with weak cyber defences.
• Weaponisation of AI by state or non-state actors could escalate conflicts.
• Proliferation of defensive AI capabilities requires international cooperation to make them affordable.
• Concentration of AI power in few nations increases vulnerability for others.

Economy

• AI deployment can reshape global economy, offering dividends to participating nations.
• Open source models, though lagging, are improving rapidly and suit deployment-heavy economies.
• Trade disputes spilling into AI supply chains could hinder technology access and economic growth.
• Investment in AI infrastructure is seen as key to economic competitiveness.

Governance

• Need for global AI governance frameworks that prevent monopolisation and ensure equitable access.
• BRICS initiatives can serve as a model for middle power cooperation in technology governance.
• Lack of inclusive governance may lead to a 'haves and have-nots' divide in AI capabilities.
• National policies must balance innovation with security and ethical concerns.

Prelims Takeaways

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

Mains Value Addition

Arguments

• Open source AI can democratise access and reduce geopolitical leverage.
• Global South needs collective mechanisms to avoid technological marginalisation.
• AI security risks necessitate collaborative defensive capabilities.

Examples

• Global pullout of Anthropic's Fable and Mythos models affecting Global South.

Data Points

• No specific data provided in article.

Counterpoints

• Open source models currently lag behind frontier proprietary models.
• US government disregards calls for slowdown, prioritising competition.

Way Forward

• Strengthen BRICS AI cooperation through joint research and open source projects.
• Develop international norms to prevent weaponisation of AI and ensure responsible use.
• Promote capacity building in Global South for AI deployment and cyber defence.
• Establish multilateral mechanisms for AI governance that include diverse stakeholders.

Primary/reference source: Editorial Analysis