UPSC CURRENT AFFAIRS – 25 December 2025
Kartavya Desk Staff
UPSC CURRENT AFFAIRS – 25 December 2025 covers important current affairs of the day, their backward linkages, their relevance for Prelims exam and MCQs on main articles
InstaLinks : Insta Links help you think beyond the current affairs issue and help you think multidimensionally to develop depth in your understanding of these issues. These linkages provided in this ‘hint’ format help you frame possible questions in your mind that might arise(or an examiner might imagine) from each current event. InstaLinks also connect every issue to their static or theoretical background.
Table of Contents
GS Paper 1/2:
• Artificial Intelligence in Education
Artificial Intelligence in Education
GS Paper 3:
• Manufacturing in India
Manufacturing in India
Content for Mains Enrichment (CME):
• Jat Panchayat bans smartphone use by married women
Jat Panchayat bans smartphone use by married women
Facts for Prelims (FFP):
• Pollution Control Vessel ‘Samudra Pratap’
Pollution Control Vessel ‘Samudra Pratap’
• Quality Council of India
Quality Council of India
• Bureau of Port Security (BoPS)
Bureau of Port Security (BoPS)
• Archaeologists find 2,000-year-old labyrinth revealing India’s role in ancient global trade
Archaeologists find 2,000-year-old labyrinth revealing India’s role in ancient global trade
• AILA (Artificially Intelligent Lab Assistant)
AILA (Artificially Intelligent Lab Assistant)
Mapping:
• Taiwan
Taiwan
UPSC CURRENT AFFAIRS – 25 December 2025
GS Paper 1/2:
Artificial Intelligence in Education
Source: Sansad TV
Subject: Education and Technology
Context: The Vice President of India, at the National Conclave on AI Evolution (AI Mahakumbh), stressed that Artificial Intelligence must be integrated into school and higher-education curricula to build future-ready skills.
About Artificial Intelligence in Education:
What it is?
• Artificial Intelligence in education refers to the use of machine learning, data analytics, and intelligent systems to support teaching, learning, assessment, research, and educational governance while retaining human oversight.
Trends and data:
• Rapid adoption: Over 80% of higher-education students in premier institutions reportedly use AI tools for learning and research support.
• Policy push: India’s AI for Science and NEP-2020 encourage digital and AI-enabled pedagogy.
• Global momentum: UNESCO and OECD identify AI as a key accelerator for achieving SDG-4 (Quality Education).
Why AI is critical for India’s education system?
• Demographic scale challenge: India’s education system caters to over 250 million learners, making uniform pedagogy ineffective across socio-economic, linguistic, and cognitive diversity.
E.g. DIKSHA uses AI-driven recommendation engines to deliver customised learning paths across multiple State Boards.
• Teacher shortage: Skewed teacher availability, especially in aspirational districts, weakens classroom outcomes and increases dropout risks.
E.g. Uttar Pradesh’s SwiftChat AI supports para-teachers in rural schools with lesson plans and doubt resolution.
• Skill mismatch: The economy demands analytical, digital, and problem-solving skills, while curricula still over-emphasise rote memorisation.
E.g. Atal Tinkering Labs integrate AI modules to develop computational thinking among secondary school students.
• Equity and access: Linguistic, regional, and gender divides restrict access to quality learning resources.
E.g. IIT Madras’s AI4Bharat translates advanced STEM content into Indian languages like Tamil and Marathi.
Key transformations enabled by AI in education:
• Personalised learning: AI dynamically adjusts content difficulty based on learner performance and pace.
E.g. Embibe analyses test responses to generate targeted remedial practice for JEE/NEET aspirants.
• Teacher empowerment: Automation of grading and planning reduces clerical burden, enabling deeper student engagement.
E.g. CBSE’s AI-enabled portals auto-evaluate objective internal assessments at scale.
• Research acceleration: AI compresses research timelines through rapid literature review and data synthesis.
E.g. Bhashini enables multilingual academic collaboration, overcoming language barriers in research.
• Smart governance: Data-driven dashboards improve decision-making across admissions, attendance, and retention.
E.g. Gujarat’s Vidya Samiksha Kendra uses predictive analytics to identify potential school dropouts early.
• Employability focus: AI aligns curricula with emerging labour-market needs in real time.
E.g. AICTE’s NEAT platform maps student skills to internships in EV and semiconductor sectors.
Core principles emphasised by UNESCO
• Human-centred AI: AI should assist teachers, not replace pedagogic judgement or moral authority.
• Equity and inclusion: AI must actively bridge learning gaps for marginalised and differently-abled groups.
• Ethical use: Transparency and safeguards are essential to prevent misinformation and algorithmic errors.
• Data privacy: Learner data must be protected through consent-based, secure frameworks.
• Cultural sensitivity: AI systems should reflect indigenous knowledge and local contexts.
Challenges associated with AI in education:
• Digital divide: Poor connectivity and device access persist in remote and Tier-3 regions. E.g. Himalayan villages remain unable to use bandwidth-intensive AI learning platforms.
• Over-dependence risk: Excessive reliance on AI outputs can weaken originality and reasoning. E.g. Students using ChatGPT for humanities essays without independent analysis.
• Bias and inaccuracies: Western-trained models often misinterpret Indian accents and contexts. E.g. Speech-recognition tools failing with regional linguistic variations.
• Teacher readiness: Limited digital literacy creates resistance to AI adoption. E.g. Pushback against AI-based attendance and assessment in state-run schools.
• Privacy concerns: Large-scale data collection of minors raises surveillance and misuse risks. E.g. Concerns over commercial exploitation of student data by private EdTech firms.
Way ahead:
• Early curriculum integration: AI literacy must be introduced from foundational schooling. E.g. CBSE has introduced AI as a skill subject from Grade 6.
• Teacher upskilling: Nationwide capacity-building in ethical and pedagogic AI use is essential. E.g. NISHTHA modules are being updated to include AI-assisted teaching methods.
• Blended learning model: Combine AI efficiency with human mentoring and ethical guidance. E.g. Phygital classrooms where AI delivers content and teachers guide reflection.
• Robust regulation: Clear legal oversight is needed for algorithmic transparency and accountability. E.g. Proposal for a National AI Regulatory Body for EdTech governance.
• Indigenous AI development: India must build sovereign, context-aware AI systems. E.g. Bhashini-led LLMs trained across all 22 Scheduled Indian languages.
Conclusion:
Artificial Intelligence can transform India’s education system from rote-based to learner-centric. When guided by ethics, inclusion, and human oversight, AI becomes a force multiplier for equity and innovation. Responsible adoption of AI is vital for building a future-ready, knowledge-driven Viksit Bharat.
Q. “The future of Indian education lies not in preserving legacy structures but in leapfrogging them through AI”. Critically analyse this statement. Also evaluate the feasibility of an AI-driven education model and the policy changes needed to enable it. (15 M)
#### UPSC CURRENT AFFAIRS – 25 December 2025 GS Paper 3:
Manufacturing in India
Source: TH
Subject: Economics
Context: India’s manufacturing slowdown has resurfaced in public debate following economist Arvind Subramanian’s analysis linking weak industrialisation to wage structures, technology stagnation, and the Dutch Disease framework.
About Manufacturing in India:
What it is?
• Manufacturing refers to the transformation of raw materials into finished goods using labour, capital, technology, and energy, forming the backbone of employment-led structural transformation.
• Historically, manufacturing has enabled countries to move from agrarian economies to high-productivity, export-driven growth.
Trends and data:
• Manufacturing contributes ~13% of India’s GDP, while services account for about 64%, indicating premature deindustrialisation.
• Between 2011–2023, India’s manufacturing GDP share declined by 3.2 percentage points, though less than China (6 pp) and South Korea (4 pp).
• Industrial growth remains uneven, with recent PMI expansion but limited long-term wage and productivity gains.
Successes of India’s manufacturing sector:
• Electronics manufacturing boom: Targeted incentives under the PLI scheme reduced cost disadvantages, encouraged scale economies, and integrated India into global electronics value chains.
E.g. Mobile exports surged from USD 0.18 bn (2014) to USD 15+ bn (2024), reflecting rapid capacity creation.
• Improved FDI inflows: Geopolitical diversification under the China+1 strategy positioned India as a preferred manufacturing destination for global firms.
E.g. Apple’s contract manufacturers crossed 20% domestic value addition in India by FY25.
• Import substitution achieved: Domestic production reduced dependence on critical electronic imports, strengthening trade balance and supply-chain resilience.
E.g. Mobile phone imports fell from USD 5.7 bn (2014-15) to below USD 1 bn (2023-24).
• Defence and aerospace gains: Strategic indigenisation reduced import reliance and built domestic technological capabilities in high-value manufacturing.
• Renewables manufacturing growth: Policy push aligned manufacturing with climate goals, creating green industrial capacity and export opportunities.
Challenges associated with manufacturing in India:
• Dutch disease-like wage distortion: High public-sector wages raised economy-wide wage expectations without parallel productivity growth in manufacturing.
E.g. Manufacturing firms struggled to compete with government salaries, discouraging factory employment expansion.
• Low technological upgrading: Easy access to cheap labour reduced incentives for automation, capital deepening, and productivity enhancement.
E.g. Many apparel units continue manual stitching instead of adopting automated cutting and sewing technologies.
• Weak skill ecosystem: Mismatch between formal education and shop-floor skills constrains industrial efficiency and scale.
E.g. MSMEs report shortages of CNC machine operators despite high youth unemployment.
• MSME fragility: Limited access to finance, technology, and standards prevents MSMEs from integrating into global value chains.
E.g. Numerous Indian MSMEs could not meet Apple’s supplier quality benchmarks.
• Rising inequality: Capital-intensive growth concentrated gains at the top, weakening wage growth and mass consumption demand.
E.g. IT unicorn valuations soared while entry-level software salaries stagnated for over a decade.
Way ahead:
• Technology-driven industrialisation: Manufacturing must shift from labour dependence to innovation-led productivity growth.
E.g. Germany’s Industry 4.0 demonstrates how automation sustains competitiveness despite high wages.
• Labour-intensive manufacturing push: Sectors with high employment elasticity should anchor India’s industrial strategy.
E.g. Bangladesh’s garment exports crossed USD 45 bn, generating large-scale female employment.
• Skill–industry integration: Vocational education must be aligned with real-time industry requirements.
E.g. Japan’s dual training model integrates classroom learning with factory apprenticeships.
• MSME value-chain integration: Cluster-based support, standardisation, and export credit can unlock MSME scale.
E.g. Vietnam linked MSMEs to global electronics chains, boosting exports and productivity.
• Stable trade and policy regime: Long-term policy certainty is essential to crowd in private manufacturing investment.
E.g. South Korea’s consistent industrial policy produced globally competitive manufacturing champions.
Conclusion:
India’s manufacturing lag is rooted not only in policy choices but also in insufficient technological upgrading and labour absorption. Recent gains show promise, yet employment-centric industrialisation remains incomplete. A technology-enabled, MSME-driven, labour-absorbing manufacturing strategy is essential for inclusive growth.
Q.Briefly discuss the problems of India’s manufacturing sector. (200 Words)
#### UPSC CURRENT AFFAIRS – 25 December 2025 Content for Mains Enrichment (CME)
Jat Panchayat bans smartphone use by married women
Context: A caste panchayat of the Jat community in Rajasthan’s Jalore district has issued a diktat banning smartphone use by married women from Republic Day 2026.
About Jat Panchayat bans smartphone use by married women:
What it is?
• A social decree issued by a caste panchayat (Sundhamata Patti panchayat) prohibiting married women and daughters-in-law from using camera-enabled smartphones in public and social spaces.
• Women from 15 villages are allowed only basic keypad phones, with limited exceptions for girls using smartphones at home strictly for educational purposes.
Causes:
• Patriarchal social control: Deep-rooted norms seek to regulate women’s mobility, communication, and autonomy in the name of tradition and social order.
• Moral policing and honour concerns: Fear of surveillance loss, misuse of social media, and perceived threats to family honour often drive such diktats.
• Digital anxiety: Panchayat cited mobile addiction and children’s eyesight, though restrictions selectively target women, not men.
Implications:
• Violation of fundamental rights: Restricts Article 14 (Equality), Article 19 (Freedom of expression), and Article 21 (Right to life and personal liberty).
• Gender discrimination: Reinforces unequal digital access and deepens the gender digital divide.
• Threat to constitutional morality: Challenges Supreme Court emphasis on individual dignity over community diktats (e.g., Shakti Vahini case on khap panchayats).
Relevance in UPSC syllabus
• GS Paper I
• Social empowerment of women Patriarchy, caste, and social control mechanisms
• Social empowerment of women
• Patriarchy, caste, and social control mechanisms
• GS Paper II
• Fundamental Rights vs Social Customs Gender justice and women’s rights
• Fundamental Rights vs Social Customs
• Gender justice and women’s rights
• GS Paper IV (Ethics)
• Conflict between tradition and ethics Individual dignity, autonomy, and moral courage
• Conflict between tradition and ethics
• Individual dignity, autonomy, and moral courage
#### UPSC CURRENT AFFAIRS – 25 December 2025 Facts for Prelims (FFP)
Pollution Control Vessel ‘Samudra Pratap’
Source: DD News
Subject: Environment
Context: The Indian Coast Guard (ICG) has inducted its first indigenously designed and built Pollution Control Vessel (PCV), Samudra Pratap, marking a major milestone in maritime environmental protection.
About Pollution Control Vessel ‘Samudra Pratap’:
What it is?
• Samudra Pratap is a specialised Pollution Control Vessel (PCV) commissioned into the Indian Coast Guard for marine environmental protection, oil-spill response, and firefighting operations.
• It is the largest vessel in the ICG fleet and the first PCV to be indigenously designed and constructed in India.
Built by: Goa Shipyard Limited (GSL) under the two-ship Pollution Control Vessel project for the Indian Coast Guard.
Key features:
• Size & capacity: 114.5 m length, 16.5 m breadth, displacement of 4,170 tonnes, enabling long endurance and high-seas operations.
• Advanced navigation & control: First ICG ship with Dynamic Positioning (DP-1) capability for precise station-keeping during pollution response.
• Pollution response systems: Equipped with oil fingerprinting machine, oil spill detection systems, viscous oil recovery equipment, and onboard pollution control laboratory.
• Firefighting capability: Holds FiFi-2/FFV-2 notation with a high-capacity external firefighting system for ship and offshore fire emergencies.
• Combat & support systems: Armed with 30 mm CRN-91 gun and two 12.7 mm remote-controlled guns, integrated with modern fire-control systems.
• Indigenous systems: Features Integrated Bridge System, Integrated Platform Management System, and Automated Power Management System.
Significance:
• Enhances India’s capability to respond to oil spills, chemical pollution, and maritime accidents within the EEZ and beyond.
• Demonstrates India’s ability to design and build complex, mission-specific vessels domestically.
• Strengthens preparedness for maritime ecological disasters and offshore industrial accidents.
Quality Council of India
Source: News on Air
Subject: Polity
Context: The Quality Council of India (QCI) announced next-generation quality reforms on the eve of Sushasan Divas 2025 to strengthen India’s quality ecosystem.
About Quality Council of India (QCI):
What it is?
• The Quality Council of India (QCI) is an autonomous, non-profit national accreditation body that promotes, adopts, and institutionalises quality standards across sectors in India.
• It operates as a public–private partnership (PPP) model, independent of direct government control, while supporting national quality objectives.
Established in:
• 1996, following Cabinet approval, under the Societies Registration Act, 1860.
• Set up on the recommendations of a multi-stakeholder committee coordinated by the then Department of Industrial Policy and Promotion (now DPIIT).
• To build a robust national quality infrastructure aligned with international standards.
• To enhance global competitiveness of Indian goods and services, protect consumer interests, and improve quality of life.
Key functions:
• National accreditation programmes: Accredits laboratories, certification bodies, inspection agencies, medical labs, and testing facilities as per global norms.
• Service-sector quality assurance: Develops accreditation frameworks for education, healthcare, governance, environment, infrastructure, and vocational training.
• Trade facilitation: Helps overcome TBT/SPS barriers under WTO by ensuring internationally acceptable conformity assessment.
• Capacity building: Strengthens quality systems in governments, institutions, MSMEs, and enterprises through training and benchmarking.
• International engagement: Maintains linkages with ILAC, IAF, OECD, ISQua, APLAC, PAC, enabling mutual recognition and global acceptance.
• Quality awareness: Leads the National Quality Campaign to empower citizens to demand quality goods and services.
Significance:
• Recent initiatives like Q Mark – Desh ka Haq and Quality Setu shift the system from inspection-heavy regulation to trust-based governance.
• Improves export credibility, especially for MSMEs, by aligning Indian standards with global benchmarks.
Bureau of Port Security (BoPS)
Source: PIB
Subject: Polity/Economics
Context: The Union government has constituted the Bureau of Port Security (BoPS) as a statutory body under the Merchant Shipping Act, 2025 to strengthen port and maritime security.
About Bureau of Port Security (BoPS):
What it is?
• The Bureau of Port Security (BoPS) is a statutory regulatory authority responsible for the security oversight of ports, port facilities, and ships in India.
• It is modelled on the Bureau of Civil Aviation Security (BCAS), providing a unified institutional framework for port security.
Established by:
• Constituted under Section 13 of the Merchant Shipping Act, 2025.
• Functions under the Ministry of Ports, Shipping and Waterways (MoPSW).
• To create a single, legally empowered authority for port security regulation, coordination, and compliance.
• To ensure safe, secure, and resilient ports in line with Maritime India Vision 2030 and global security standards.
Key functions:
• Regulatory oversight: Enforce compliance with international frameworks such as the International Ship and Port Facility Security (ISPS) Code.
• Coordination role: Act as a nodal body coordinating among Coast Guard, CISF, Navy, State maritime police, and port authorities to avoid security gaps.
• Threat prevention: Address risks like maritime terrorism, arms and drug smuggling, human trafficking, piracy, illegal migration, and poaching.
• Cybersecurity: Establish a dedicated division to protect port IT systems and digital infrastructure, coordinating with national cyber agencies.
• Standardisation & training: Designate CISF as a recognised security organisation to prepare security plans, conduct audits, and train port security personnel.
• Graded security implementation: Ensure risk-based, phased security measures across major and non-major ports.
Significance:
• Reduces fragmentation caused by multiple agencies handling coastal security.
• Enhances security credibility amid rising cargo volumes, port capacity expansion, and inland waterway usage.
Archaeologists find 2,000-year-old labyrinth revealing India’s role in ancient global trade
Source: IT
Subject: Art and Culture
Context: Archaeologists have uncovered a 2,000-year-old circular stone labyrinth in Maharashtra’s Solapur district, the largest of its kind in India.
About Archaeologists find 2,000-year-old labyrinth revealing India’s role in ancient global trade:
What it is?
• The find is a massive circular stone labyrinth constructed using carefully laid concentric stone circuits.
• It is dated to nearly 2,000 years ago and linked to the Satavahana dynasty (1st–3rd century CE).
Discovered at:
• Located in the Boramani grasslands, Solapur district, Maharashtra.
• The semi-arid grassland ecosystem limited excavation, aiding long-term preservation of the structure.
Key features:
• Size: Approximately 50 feet × 50 feet, making it the largest circular labyrinth in India.
• Design: Comprises 15 concentric stone circuits, the highest number recorded so far in Indian circular labyrinths.
• Form: Circular layout, distinct from the larger but square labyrinth found at Gedimedu, Tamil Nadu.
• Setting: Situated in open grasslands, not within settlements, temples, or forts.
Connections within India:
• Similar, smaller labyrinths have been found in Sangli, Satara, and Kolhapur, indicating a regional network across western Maharashtra.
• Their alignment suggests links between inland Deccan routes and western coastal ports such as those used in Roman trade.
• Maharashtra’s location made it a trade conduit between interior production centres and Arabian Sea ports.
Significance:
• The circular motif resembles labyrinth designs on ancient Roman coins from Crete, many of which have been found in Indian trade hubs.
• Likely served as navigational or symbolic signposts for merchants transporting spices, textiles, and precious stones.
• Reinforces Maharashtra’s role as a key crossroads in ancient global commerce.
AILA (Artificially Intelligent Lab Assistant)
Source: BS
Subject: Science and Technology
Context: Researchers at IIT Delhi have developed AILA, an AI system capable of autonomously conducting real scientific experiments, a first of its kind in India.
About AILA (Artificially Intelligent Lab Assistant):
What it is?
• AILA is an autonomous AI-powered laboratory assistant that can design, run, and interpret real-world scientific experiments without continuous human intervention.
• Unlike conventional AI tools that only analyse data, AILA directly controls laboratory instruments and adapts decisions in real time.
Developed by: Indian Institute of Technology (IIT) Delhi, in collaboration with research teams from Denmark and Germany.
• To automate complex laboratory experiments, reduce human effort and time, and accelerate discoveries in materials science and experimental physics.
• To enable AI to move beyond analysis into active scientific reasoning and experimentation.
Key features:
• Autonomous experiment execution: Independently operates the Atomic Force Microscope (AFM), a critical tool in nanoscale materials research.
• Real-time decision-making: Adjusts experimental parameters dynamically based on ongoing observations.
• End-to-end workflow: Designs experiments, controls instruments, analyses data, and generates results without manual intervention.
• Time efficiency: Reduces tasks that took an entire day to 7–10 minutes, significantly boosting research productivity.
• Adaptive intelligence: Learns from experimental outcomes to refine subsequent actions.
Significance:
• Marks a transition from AI as a support tool to AI as an active scientific agent.
• Enables wider access to advanced instruments by lowering skill and time barriers.
• Aligns with India’s AI for Science initiative and ANRF-backed research funding.
#### UPSC CURRENT AFFAIRS – 25 December 2025 Mapping:
Taiwan
Source: TOI
Subject: Mapping
Context: A magnitude 6.1 earthquake struck Taiwan shaking buildings in Taipei and other cities, though no major damage was reported.
About Taiwan:
What it is?
• Taiwan is an island in the western Pacific Ocean, officially governed as the Republic of China (ROC), with its own elected government, economy, and armed forces.
• It functions as a self-administered polity, though its sovereignty status remains contested internationally.
Location:
• Situated about 160 km off the southeastern coast of China, separated by the Taiwan (Formosa) Strait.
• Lies between the East China Sea (north) and the South China Sea (south), facing the Pacific Ocean to the east.
Capital: Taipei.
Neighbouring countries:
• China to the west (across the Taiwan Strait).
• Japan (Ryukyu Islands) to the northeast.
• Philippines to the south, across the Bashi Channel.
• Surrounded by strategically contested waters in the East and South China Seas.
Brief history:
• Prior to the 17th century, Taiwan had indigenous self-governing communities with no central authority.
• Colonised by the Dutch (17th century), later ruled by Qing China for nearly two centuries.
• Became a Japanese colony (1895–1945) after the First Sino-Japanese War.
• In 1949, after the Chinese Civil War, the Nationalist government (Kuomintang) retreated to Taiwan following defeat by the Communists on the mainland.
• Since then, Taiwan has remained politically separate from the People’s Republic of China, which claims it under the One-China policy.
Geological features:
• Lies at the convergence of the Philippine Sea Plate and Eurasian Plate, making it one of the world’s most earthquake-prone regions.
• Part of the Pacific Ring of Fire, the most seismically active zone globally.
• Dominated by the Central Mountain Range, with over two-thirds of the island being mountainous.
• Home to Yu (Jade) Mountain, the highest peak in East Asia (3,997 m).
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