We complete this series with a topic that touches every reform we have discussed so far. Whether in tax, trade, judiciary, healthcare, or defence, Artificial Intelligence is now everywhere. AI Governance is the question of how we keep this powerful technology useful and safe.
Artificial Intelligence has moved from research labs to daily life faster than any earlier technology. From large language models to medical diagnostics to defence applications, AI now shapes outcomes across sectors. Globally, governance frameworks are emerging at different speeds. Within India, regulators, ministries, and NITI Aayog are working through a multi pillar approach. For ISS aspirants, AI Governance is the most modern, exam favourable topic of the year.
The global landscape
The European Union’s AI Act, agreed upon in 2024 and entering into application in stages, is the world’s first comprehensive horizontal AI law. It uses a risk based approach, banning certain uses, regulating high risk uses, and applying transparency obligations elsewhere. The United States relies more on sectoral regulation and executive orders. China has issued a series of administrative regulations on generative AI and recommendation algorithms. The United Nations has set up a High Level Advisory Body on AI.
India’s approach
India has chosen a calibrated approach that balances innovation with responsibility. NITI Aayog’s National Strategy for Artificial Intelligence outlined sectors of priority, including healthcare, agriculture, education, smart cities, and smart mobility. The IndiaAI Mission supports compute infrastructure, datasets, and indigenous foundation models. The Digital India Bhashini project brings AI translation to Indian languages. The DPDP Act 2023 provides the data protection backbone.
Risks that AI Governance must manage
Bias in datasets, opaque algorithms, deepfake misuse, copyright disputes, job displacement in routine roles, and surveillance risks are all part of the governance debate. India’s IT Rules and advisories have already set early markers around deepfakes and content traceability. Sectoral regulators in finance, health, and competition are increasingly engaging with AI specific risks.
Where India fits globally
India is a co-founder of the Global Partnership on AI and has hosted major international AI summits. With around 20 percent of global AI talent, a vibrant startup ecosystem, and large public digital infrastructure, India is uniquely placed to push for AI Governance frameworks that work for the Global South. India has emphasised that AI must be safe, trusted, and inclusive, and that excessive concentration of AI capability in a few hands is itself a governance risk.
Global AI Governance Snapshot
| Jurisdiction | Main Framework |
| European Union | EU AI Act, risk based |
| United States | Sectoral regulation, executive orders |
| China | Administrative regulations on generative AI |
| United Nations | High Level Advisory Body on AI |
| India | IndiaAI Mission, DPDP Act, sectoral rules |
A Real Aspirant Story
Imagine a young product manager named Tanvi at a Bengaluru AI startup. Her firm builds an AI model that helps doctors flag risky scans. Earlier, she struggled to navigate unclear rules across markets. With clearer frameworks, including the DPDP Act in India and risk classifications under the EU AI Act, she can design her product to be compliant by default. Good AI Governance is not a brake. It is a guardrail that allows safe acceleration.
Bridge to the Next Topic
And with this 25th blog, we complete the priority series for ISS aspirants. From the Budget to AI Governance, you now have a full map of the most testable themes for this year. The next step is simple. Open StatChakravyuh, take a focused mock test on these themes, identify your weak spots, and revise. Practice. Improve. Repeat.