Consider the following statements:
Statement I:
In India, income from allied agricultural activities like poultry farming and wool rearing in rural areas is exempted from any tax.
Statement II:
In India, rural agricultural land is not considered a capital asset under the provisions of the Income-tax Act, 1961.
Which one of the following is correct in respect of the above statements?
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Consider the following statements
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Consider the following statements
Consider the following statements:
I. India has joined the Minerals Security Partnership as a member.
II. India is a resource-rich country in all the 30 critical minerals that it has identified.
III. The Parliament in 2023 has amended the Mines and Minerals (Development and Regulation) Act, 1957 empowering the Central Government to exclusively auction mining lease and composite license for certain critical minerals.
Which of the statements given above are correct? -
Guardrails in AI growth to protect developing nations
Why in the News?
The United Nations General Assembly established a Global Dialogue on AI and an Independent International Scientific Panel on AI, marking the first attempt to create a global scientific body dedicated to this technology. This development has exposed a core tension: AI governance is simultaneously moving toward global coordination and fragmenting into competing national regulatory frameworks. The asymmetry between AI-capable and AI-dependent nations determines who controls both the risks and the benefits of this transition.
What is the current global AI governance landscape and why is it structurally insufficient?
- Parallel and voluntary structures: Most existing frameworks have voluntary participation, varying legal force, and focus on specific aspects, safety, ethics, or standards, with no common binding floor.
- EU AI Act 2024: The most comprehensive binding framework to date. It prioritises safe, transparent, non-discriminatory, and environmentally friendly AI. Its extraterritorial reach is limited to EU-market participants.
- UN Global Dialogue on AI: UNGA invited every country to participate. An Independent Scientific Panel makes periodic assessments to inform the Dialogue. It lacks enforcement authority.
- Annual global AI summits: The most recent edition was held in New Delhi in February 2025. Outcomes remain consultative and have not produced enforceable international agreements.
- Regulatory fragmentation: Each country developing its own framework forces companies to satisfy differing requirements across geographies, creating pressure to favour permissive jurisdictions.
- Innovation slowdown risk: Companies may roll out services only in regulatory-friendly markets, deepening access inequality for developing nations.
What makes global AI governance necessary?
- Cross-border technology: AI systems operate across jurisdictions and affect multiple countries simultaneously.
- Regulatory fragmentation: Different national regulations increase compliance costs and slow innovation.
- Unequal regulatory capacity: Many developing countries lack the expertise and institutions needed to regulate AI effectively.
- Global public impact: AI influences economic growth, governance, healthcare, education, and security.
- Need for common standards: Shared principles can improve safety, interoperability, and trust.
How does regulatory fragmentation produce asymmetric harm for developing nations?
- Infrastructure concentration: A few countries already possess the computing, talent, and financial resources to support the entire AI ecosystem, before global rules are set.
- Regulatory capacity deficit: Many countries in Asia and Africa lack institutions to frame robust domestic AI regulations or protect their national interests in international negotiations.
- Data sovereignty trap: Insisting that all AI development remain within national boundaries accelerates power concentration rather than distributing it.
- Digital colonisation risk: Developing countries become consumers of AI systems designed elsewhere, with no input into their values, benchmarks, or constraints.
- Denial of transformative benefits: AI is a technology of the order of the steam engine. Excluding developing nations from its benefits is a disservice to humanity, not merely to affected countries.
- Minimum regulatory floor: A globally agreed set of minimum standards is the only mechanism that ensures developing countries benefit from AI advances without surrendering domestic policy space.
Does global AI regulation resolve the equity problem or does it risk replicating the nuclear non-proliferation trap?
The equity problem refers to the structural exclusion of predominantly the Global South from the economic benefits, decision-making processes, and capacity building surrounding artificial intelligence.
- Non-proliferation analogy: Global AI regulation could restrict unrestricted AI development to only certain countries or companies, creating a permanent hierarchy between technology producers and users.
- Nuclear regime parallel: This outcome embeds existing power differentials into binding international law, replicating a governance structure that legitimises asymmetry rather than correcting it.
- Biological and chemical weapons treaties: Existing international agreements already control dangerous dual-use technologies. Proposals may extend this logic to AI models and to the infrastructure required to build them.
- Logic of restriction: The case for restricting AI capable of enabling next-generation biological or chemical weapons is logically defensible. The risk is who draws the boundary and in whose interest.
- Political capture risk: “Responsible AI” defined by incumbent powers locks in first-mover advantage and treats developing nations as permanent recipients rather than co-producers of governance norms.
What do international governance models demonstrate about the feasibility of a globally agreed AI floor?
- EU AI Act: binding regulatory precedent: Demonstrates that comprehensive, legally enforceable AI governance is achievable at supranational scale. Sets de facto global standards through market leverage.
- UN Global Dialogue: universalist participation model: Universal country invitation distinguishes it from club-based governance. Participatory architecture is its most relevant design feature for developing nations.
- Google AI Commons: private open-access precedent: Demonstrates that large AI actors can adopt open-access norms voluntarily. Lacks enforceable accountability.
- Trusted AI Commons: India-hosted hybrid model: A one-stop repository of tools, benchmarks, datasets, and protocols for testing AI deployment, with liberal licensing. Significant as a Global South-led governance mechanism.
- Limits of existing models: None produces a binding universal minimum floor. The EU Act covers only its market; the UN Dialogue lacks enforcement; Commons models are voluntary. The gap between architecture and enforceable standards remains open.
What is the Trusted AI Commons and does it constitute an adequate institutional response to the governance deficit?
- Definition: A repository of tools, benchmarks, datasets, and protocols needed to develop and deploy AI systems safely and responsibly. Functions as a one-stop shop for AI testing and deployment support.
- Institutional origin: Main outcome of the New Delhi AI Impact Summit, February 2026. Hosted and managed by India through India’s AI Mission.
- Licensing design: Open, accessible, with liberal licensing. Aggregates tools already developed worldwide, including by IIT Madras, rather than commissioning new ones.
- Practical function (example): A country testing an AI system for agriculture can use the Commons to locate available tools, benchmarks, datasets, and protocols in one place, without needing domestic AI infrastructure to find or validate them.
- Adequacy gap: Addresses the access and deployment deficit. Does not create a binding minimum floor. Does not build regulatory capacity in developing nations. Necessary but insufficient.
- India’s strategic significance: Hosting the Commons positions India as a norm-setter rather than a norm-follower, consistent with its broader foreign policy of strategic autonomy: the ability to act independently of major power blocs in international affairs.
The Trusted AI Commons
- It is an open, federated, and voluntary global platform designed to serve as a consolidated repository for AI safety benchmarks, evaluation tools, standards, and deployment frameworks.
- The initiative was integrated into the New Delhi Declaration on AI Impact.
Core Objectives & Utility: The platform is designed to act as a “one-stop shop” for developers, researchers, and regulators to access non-proprietary resources.
- Open Accessibility: Provides tools under liberal, open-source licensing to prevent safety mechanisms from being locked behind big-tech barriers.
- Standardised Evaluation: Hosts cross-jurisdictional benchmarks to test AI behavior against bias, misalignment, and operational errors before deployment.
- Global Interoperability: Fosters cross-border collaboration by mapping technical safety frameworks across different international standards.
Hosting and Management
- Initial Leadership: The Trusted AI Commons is initially hosted and managed by India under the auspices of the Ministry of Electronics and Information Technology (MeitY) and the IndiaAI Mission.
- Collaborative Network: Rather than building every mechanism from scratch, it aggregates tools from leading global research bodies, such as the Centre for Responsible AI (IIT Madras), the UK AI Security Institute, and Mozilla
Conclusion
Fragmented national AI regulation concentrates power in AI-capable nations and denies developing countries both protection and access. A globally agreed minimum regulatory floor is the necessary condition for equity but if framed through non-proliferation logic, it encodes existing power hierarchies into international law. The Trusted AI Commons addresses the access deficit but does not substitute for binding global governance. The central unresolved precondition is universal participation in the design of global AI rules, not merely in their implementation.
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DAE Inaugurates VDPP and 24 kA Prototype Sodium Cell
Why in News?
The Department of Atomic Energy (DAE) inaugurated the Versatile Deuterated Compounds Production Plant (VDPP) and commissioned the 24 kA Prototype Sodium Cell at the Heavy Water Board Facilities (HWBF), Vadodara, strengthening India’s indigenous capabilities in strategic nuclear materials.
Versatile Deuterated Compounds Production Plant (VDPP)
- Established for indigenous production of high-purity deuterated compounds and solvents.
- Supports:
- Advanced scientific research
- Strategic applications
- Frontier technologies
- Reduces dependence on imports of specialized deuterated materials.
What are Deuterated Compounds?
- Compounds in which hydrogen (¹H) is replaced by deuterium (²H or D), a stable isotope of hydrogen containing one proton and one neutron.
- Used in Nuclear technology, NMR spectroscopy, Pharmaceutical research, and Chemical and biological studies
24 kA Prototype Sodium Cell
- India’s first indigenous industrial-scale prototype for producing nuclear-grade sodium.
- Nuclear-grade sodium serves as the coolant in Fast Breeder Reactors (FBRs).
- Represents a major step toward self-reliance in strategic nuclear materials.
Significance
- Strengthens India’s Fast Breeder Reactor Programme.
- Supports the second stage of India’s three-stage nuclear power programme.
- Promotes AtmaNirbhar Bharat in critical nuclear technologies.
- Enhances long-term energy security and technological self-reliance.
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India’s Space Odyssey: Prelims Quick Revision
Why in News?
The Government highlighted India’s achievements under Space Vision 2047, focusing on self-reliance, commercialization, and human spaceflight.
Major Missions
- Chandrayaan-3 (2023): First soft landing near Moon’s south pole; confirmed sulphur.
- Chandrayaan-4 (2027): Lunar sample return mission.
- LUPEX (2027-28): ISRO-JAXA mission to explore lunar polar ice.
- Mangalyaan: First country to reach Mars on maiden attempt.
- Aditya-L1: India’s first solar observatory at Sun-Earth L1.
- Venus Orbiter Mission: Planned for 2028.
- Gaganyaan: India’s first human spaceflight programme.
- Bharatiya Antariksh Station (BAS): First module by 2028.
Space Technology
- SpaDeX (2025): India became 4th nation to achieve autonomous space docking.
- NavIC: Indigenous navigation system covering India and 1,500 km beyond.
- VIKRAM3201: First indigenous 32-bit space microprocessor.
- RLV-TD: Developing reusable launch vehicle technology.
Space Economy
- Space startups: 1 (2014) → 400+ (2026).
- Space economy: $8 billion, targeted to reach $40-45 billion by 2030.
- Major reforms: IN-SPACe, NSIL, Indian Space Policy 2023, Liberalised FDI.
Launch Infrastructure
- Operational launch vehicles: PSLV, GSLV, LVM3.
- NGLV under development (30-ton LEO capacity).
- Second spaceport: Kulasekarapattinam, Tamil Nadu.
- Third launch pad approved at Sriharikota.
International Cooperation
- NISAR: ISRO-NASA
- TRISHNA: ISRO-CNES
- LUPEX: ISRO-JAXA
- Human spaceflight cooperation with ESA and Russia.
Space Applications
- Disaster management, Telemedicine, PM e-VIDYA, India-WRIS, Potential Fishing Zone advisories, and Satellite Aided Search and Rescue (SASAR).
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Rakhigarhi Skeletons Undergo DNA Analysis & Facial Reconstruction
Why in News?
The Archaeological Survey of India (ASI) has sent nearly 5,000-year-old skeletons excavated from Rakhigarhi, Haryana, for DNA analysis and facial reconstruction to gain insights into the people of the Harappan Civilization.
Key Highlights
- Five skeletons recovered:
- 3 females and 2 males (preliminary assessment).
- Estimated age: 30-40 years.
- Scientific Institutions Involved:
- Anthropological Survey of India (AnSI), Kolkata: Anthropological study and facial reconstruction.
- Birbal Sahni Institute of Palaeosciences (BSIP), Lucknow: Ancient DNA analysis.
- Objectives of the Study:
- Determine ancestry and genetic profile.
- Identify cause of death and possible diseases.
- Reconstruct facial features and physical appearance.
- Estimate height, lifestyle, and social status.
- Reconstruct the palaeo-environment of the Harappan period.
- Three additional disturbed burials with fragmentary remains were also discovered at Mound No. 7, the site’s ancient cemetery.
About Rakhigarhi
- Located in Hisar district, Haryana.
- Largest known site of the Indus Valley (Harappan) Civilization.
- Flourished during 2600-1900 BCE (Mature Harappan Phase).
- Known for Planned urban settlement, Drainage system, Granaries, Cemetery remains, and Craft production
Ancient DNA (aDNA)
- DNA extracted from ancient bones, teeth, or other biological remains.
- Used to study Human migration, Evolution, Population genetics, Ancient diseases
[2021] Which one of the following ancient towns is well-known for its elaborate system of water harvesting and management by building a series of dams and channelizing water into connected reservoirs?
[A] Dholavira
[B] Kalibangan
[C] Rakhigarhi
[D] Ropar
- Five skeletons recovered:
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[20th June 2026] The Hindu OpED: India’s cheapest power is here, the grid must catch up
PYQ Relevance[UPSC 2013] Write a note on India’s green energy corridor to alleviate the problem of conventional energy.
Linkage: The question examines the role of transmission infrastructure in enabling large-scale renewable energy integration.The article shows that transmission bottlenecks, not generation capacity, have become the main constraint on India’s clean-energy transition, reinforcing the importance of the Green Energy Corridor.Mentor’s Comment
India now produces some of the world’s cheapest solar and wind power, yet more than 50 GW of completed renewable capacity remains stranded not because projects are unfinished, but because grid connectivity and transmission is unavailable.
Why Has Transmission Become the Binding Constraint in India’s Energy Transition?
- Cheapest Source of Power: Solar and wind have emerged as India’s lowest-cost electricity sources, with firm clean power available at around ₹3.5 per kWh when paired with storage.
- Rapid Renewable Expansion: India added over 45 GW of renewable capacity in 2025 and currently has about 250 GW installed, with another 100 GW under construction.
- Existing Base and Pipeline: India currently has about 250 GW of renewable capacity installed and another 100 GW under construction, indicating that transmission expansion is lagging generation growth.
- Stranded Renewable Capacity: More than 50 GW of completed renewable projects remain unable to evacuate power due to transmission shortages.
- Mismatch in Project Timelines: Renewable projects can be commissioned within 12-18 months, whereas transmission corridors often require 3-5 years.
- Future Scale Requirement: India may require nearly 2,000 GW of renewable capacity by 2050 to meet rising electricity demand and electrification goals.
How Can Existing Grid Assets Unlock Nearly 1,000 GW of Additional Clean Energy?
- Storage at Renewable Sites: Batteries can store surplus daytime generation and supply power during evening peaks, significantly increasing utilisation of existing transmission lines.
- Reuse of Coal Corridors: Underutilised transmission infrastructure connected to coal plants can be shared with renewable projects, unlocking the equivalent of nearly 100 GW of clean-energy capacity.
- Leveraging Existing Substations: Available capacity at transmission substations can accommodate additional renewable connections and support battery integration, enabling another 100 GW equivalent.
- Reconductoring Existing Lines: Replacing older conductors with high-temperature, low-sag conductors can nearly double power-carrying capacity on the same towers.
- Combined Impact: Storage, shared infrastructure, and reconductoring together can unlock more than 1,000 GW of clean-energy potential within the existing transmission footprint.
Does Better Grid Utilisation Solve the Problem or Merely Defer It?
- Fastest Short-Term Solution: Grid optimisation can be deployed within months and quickly connect stranded renewable projects.
- Not a Substitute for Expansion: Existing infrastructure alone cannot support India’s projected renewable requirement of 2,000 GW.
- Scale Limitation: Future renewable parks and industrial electrification will require entirely new transmission corridors.
- Sequencing Advantage: Optimisation provides immediate relief while larger transmission projects are planned and executed.
- Grid Expansion Imperative: India plans a 40% expansion of its transmission network over the next decade, costing more than $100 billion. New corridors must incorporate advanced conductors and storage compatibility to avoid recreating future bottlenecks.
- Core Tension: The cheapest and fastest solution is grid optimisation, but the durable solution remains large-scale transmission expansion. Both approaches are necessary.
What Regulatory and Policy Changes Are Needed?
- Storage-Linked Renewable Planning: Regulators should promote greater integration of storage with renewable projects to improve grid utilisation.
- State-Level Implementation: States and distribution utilities must incorporate storage and grid-efficiency measures into procurement and planning decisions.
- Technology-Oriented Procurement: Procurement norms should reward advanced transmission technologies that expand capacity without requiring new corridors.
- Integrated Infrastructure Planning: Renewable energy zones and transmission corridors should be developed in a coordinated manner.
- Future-Proof Transmission Design: New transmission infrastructure should be designed for significantly higher renewable penetration from the outset.
What Does International Experience Reveal About Transmission Bottlenecks?
- United States: Delays in connecting renewable projects to the grid have emerged as a major obstacle to the clean-energy transition.
- Europe: Several European countries face similar transmission constraints despite substantial renewable deployment.
- Common Lesson: Cheap renewable generation alone does not guarantee energy transition success unless transmission capacity keeps pace.
- India’s Advantage: A unified national grid and a strong record of transmission expansion provide India with an opportunity to avoid similar bottlenecks.
Conclusion
India’s energy transition has moved from a generation challenge to a transmission challenge. The fastest gains lie in optimising existing grid infrastructure through storage, shared transmission assets, and reconductoring, which together can unlock nearly 1,000 GW of additional clean-energy potential. However, optimisation only buys time; achieving India’s long-term renewable ambitions requires simultaneous investment in new, high-capacity transmission corridors. India’s success will depend on pursuing both tracks together.