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Relevance: GS-II (International Institutions) & GS-III (Science & Tech / Cyber Security) Source: Essay by Prof. B. Ravindran (IIT Madras), 2026

Artificial Intelligence (AI) is no longer just a sci-fi concept; it is actively reshaping our jobs, our security, and even our elections. To ensure this powerful technology is used safely, the United Nations has formed an International Scientific Panel on AI featuring 40 global experts.

Proudly, Prof. B. Ravindran of IIT Madras is the only Indian member. But behind these high-level talks is a growing fear: will the rules of AI be written by the rich to keep developing nations out? After hosting the AI Impact Summit in New Delhi, India is in the perfect position to lead the developing world (the Global South) in fighting for fair and open AI rules.

1 · Where do global AI rules stand today?

Think of AI governance like traffic lights for technology. Just as we need rules to prevent car crashes, we need laws and norms to ensure AI is built fairly, safely, and without bias. The world is currently trying to write this ultimate “rule-book.”
  • The UN Global Dialogue: The UN has invited all countries to the table to discuss building a fair AI system. It’s the first real attempt at global teamwork on this issue.
  • The EU AI Act (2024): Europe took the lead with the world’s most complete AI law. It works on a risk-based model: if an AI tool is highly dangerous (like facial recognition for mass surveillance), it faces strict rules. If it’s low-risk (like an AI spam filter), the rules are lighter.
  • Voluntary Summits: Meetings like India’s New Delhi AI Impact Summit are helping countries figure out how to turn big ethical ideas into real-world tools.

2 · Four hidden traps for developing nations

Danger 1
The “VIP Club” Trap
Rich nations might claim that only they are “responsible” enough to handle advanced AI, quietly locking poorer nations out of the best technology (similar to historical nuclear treaties).
Danger 2
Digital Neocolonialism
Developing countries could become mere “data farms”—providing raw data to rich countries, only to be forced to buy back the finished AI products at high prices.
Danger 3
A Mess of Conflicting Laws
If every nation creates totally different AI rules, global tech companies might just refuse to operate in stricter, poorer countries, cutting them off from innovation.
Danger 4
Power Hoarded at the Top
Strict “data must stay inside the country” rules sound good, but building massive data centers is incredibly expensive. Only a few rich tech monopolies can afford it, concentrating power even further.
Why this matters: These four dangers create a domino effect. If developing nations are legally blocked, forced into dependence, and priced out of the market, a massive new digital inequality will divide the world.

3 · India’s Solution: The Trusted AI Commons

A. What is it?

  • A Global Digital Library: Think of the Trusted AI Commons as a giant, open-source library for safe AI tools. It will hold clean datasets, pre-trained models, and safety tests.
  • The Promise: Countries that can’t afford massive supercomputers can simply log in, access what they need under easy rules, and build their own local AI. India has offered to host and run this platform for the world.

B. India’s Domestic AI Muscle

  • IndiaAI Mission: The government is investing ₹10,372 crore to make AI computing power cheaper for Indian startups. This includes building a massive 10,000-GPU supercomputer network.
  • The DPDP Act, 2023: India’s new data protection law ensures that the personal data used to train AI is collected with clear consent, punishing those who misuse citizen information.

C. India’s Voice on the World Stage

  • GPAI: As a founding member of the Global Partnership on Artificial Intelligence, India helps connect top-tier AI research with practical, everyday uses.
  • Global Pacts: By signing the Bletchley Park (2023) and Seoul (2024) declarations, India has committed to testing advanced AI for safety alongside other major nations.
  • The Big Picture: Smart AI rules protect our tech jobs, stop dangerous deepfakes during elections, and ensure Indian startups aren’t crushed by foreign giants.

4 · The Way Forward for India

Push for fair UN rules. India must use the UN dialogues to establish a baseline of minimum AI safety rules—protecting humanity without stopping poorer nations from innovating.
Launch the Commons quickly. The government (MeitY) should urgently get the Trusted AI Commons online, offering free safety tools and datasets in local languages to our allies in the Global South.
Adopt a smart domestic law. India needs to move past guidelines and create a real, statutory AI law (similar to the EU) that tightly regulates high-risk AI while letting low-risk AI flourish.
Defend open-source AI. Through global forums, India must ensure that foundational AI code remains open to everyone, rather than being legally locked up by a few Western mega-corporations.

The Bottom Line: AI will shape our future just as electricity shaped the past century. The real question is who gets to write the rules. If developing nations stay quiet, they will be left behind. By combining the Trusted AI Commons, the IndiaAI Mission, and strong domestic laws, India can protect its citizens and lead the Global South toward an era of digital self-respect and shared growth.

UPSC Concept Guide
International Scientific Panel on AI A 40-expert global UN body providing evidence-based reports on AI. Prof. B. Ravindran is the only Indian member.
EU AI Act, 2024 The world’s most comprehensive AI law. It uses a “risk-based” approach to regulate technology.
Trusted AI Commons India’s proposed open library of safe AI assets (like datasets and models) to help developing nations build tech safely.
IndiaAI Mission A ₹10,372 crore government initiative to boost domestic AI computing power, including a 10,000-GPU network.
DPDP Act, 2023 India’s law (Digital Personal Data Protection Act) that heavily regulates how our personal data is used to train AI.
Global Pacts (Bletchley & Seoul) Major international agreements signed by India to jointly test and manage the risks of highly advanced AI.

Mains Practice Question
Emerging global AI regulations risk creating a new form of digital inequality. Examine the structural vulnerabilities for developing nations and suggest how India can lead the Global South toward equitable AI governance. (15 marks · 250 words)
How to structure your answer:
Introduction — Briefly mention the UN Scientific Panel, the EU AI Act, and India’s recent AI Impact Summit.
Body Part 1 — Outline the dangers: the non-proliferation trap, digital neocolonialism, and hoarded computing power.
Body Part 2 — Explain India’s response: the Trusted AI Commons and the domestic IndiaAI Mission.
Body Part 3 — Highlight India’s global leverage: DPDP Act, GPAI leadership, and international safety declarations.
Way Forward — Call for UN minimum rules, a domestic risk-based law, and the protection of open-source AI.
Keywords to secure marks:
Digital neocolonialism ·
Trusted AI Commons ·
IndiaAI Mission & DPDP Act ·
EU AI Act (risk-based model) ·
GPAI & UN Global Dialogue
Conclusion Hint: Conclude by arguing that fair AI requires shared access to tools, making India’s leadership both a moral duty and a strategic advantage for the entire developing world.

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