Current Affairs 17 September 2025
Content Top court asks who will decide that a religious conversion is ‘deceitful’ Making health care safe for every Indian Unseen labour, exploitation: the hidden human cost of Artificial Intelligence India Targets Record 119 MT Wheat Output in 2025-26 Heavy Rains in the Himalayas: Interplay of Topography, Climate Change, and Rising Disaster Risks Top court asks who will decide that a religious conversion is ‘deceitful’ Basics Issue: A petition before the Supreme Court seeks a ban on “deceitful” religious conversions and questions the constitutionality of State-level anti-conversion laws. Constitutional Context: Article 25: Provides freedom of conscience and right to profess, practice, and propagate religion, subject to public order, morality, and health. Supreme Court in Rev. Stanislaus vs State of MP (1977) upheld States’ power to regulate conversion by force, fraud, or inducement. State Laws: Around 10 States (UP, MP, Gujarat, Himachal, Uttarakhand, Karnataka, Haryana, Jharkhand, Chhattisgarh, Rajasthan) have enacted Freedom of Religion Acts, often termed “anti-conversion laws.” Recent Hearing (Sept 2025): Chief Justice B.R. Gavai asked who determines if a conversion is “deceitful.” Petitioners argue laws are restrictive; respondents defend their necessity. Court will reconsider the matter after six weeks. Relevance: GS-II (Polity & Governance): Fundamental Rights (Article 25 – freedom of religion; Articles 14, 19, 21 – equality, liberty, life). Judicial review of State legislation (SC role in constitutional validity). Federalism: Centre vs State competence in religious matters. GS-I (Society): Inter-faith relations, social harmony, religious practices. GS-II (Governance): Criminal justice reforms (burden of proof, third-party complaints). Overview Constitutional and Legal Dimensions Right to Freedom of Conscience: Protected under Article 25; scope of “propagation” does not necessarily extend to conversion. State Regulation: Laws seek to prevent conversions through coercion, fraud, or inducement. Judicial Role: SC has clarified its role is to test constitutionality, not legislate. Burden of Proof: Some State laws place it on the individual converting, raising constitutional questions. Federalism Religion-related matters fall under the Concurrent List. States have legislated individually, sometimes using other States’ laws as models. Debate exists over whether a uniform central framework or diverse State laws are more appropriate. Individual Rights and Society Marriage and Conversion: Many laws scrutinize inter-faith marriages linked to conversion. Right to Choice: Questions arise over balancing personal autonomy with State interest in regulating conversions. Chilling Effect: Concerns raised that ordinary religious practices could be subjected to suspicion. Criminal Justice and Governance Punishment Provisions: Some Acts provide for stringent penalties, including extended imprisonment. Third-Party Complaints: Provisions allowing unrelated individuals to initiate proceedings create scope for wide application. Implementation: Conviction rates remain limited; many cases end in prolonged litigation. Political and Social Dimensions Legislative Intent: Governments argue laws are preventive in nature, safeguarding vulnerable groups from coercion. Social Context: Critics argue laws may impact interfaith relationships and minority communities. Polarization Risk: Debate around conversions often intersects with political and electoral narratives. Judicial Outlook Pending Issues: SC will examine if provisions violate Articles 14, 19, 21, and 25. Possible Judicial Outcomes: Striking down specific provisions (burden of proof, third-party locus). Upholding core objectives of preventing forcible conversion. Issuing guidelines for uniform application. Making health care safe for every Indian Basics Event: World Patient Safety Day observed annually on September 17, declared by WHO in 2019. Theme 2025: Focus on safe care for every newborn and every child (WHO campaign). Global Context: WHO estimates: 1 in 10 patients harmed during hospitalization. 4 in 10 patients harmed in primary/ambulatory care, with 80% of harm preventable (WHO, 2023 fact sheet). Indian Context: Disease burden shifting to chronic conditions (cancer, diabetes, CVD, mental health). Complexity in acute care (multi-speciality coordination) increases risk of patient harm. Relevance: GS-II (Governance, Social Justice): Right to Health (Directive Principles, judicial debates). Public health institutions, policies, and regulation. Role of civil society and CSR in health awareness. GS-III (Science & Technology): Use of AI, EHRs, digital tools in patient safety. GS-II (International): WHO’s role, India’s commitments in global health governance. Dimensions of Patient Harm Clinical Causes: Hospital-acquired infections, unsafe injections, transfusion errors. Adverse drug reactions, inappropriate medication combinations. Delayed diagnoses, preventable surgical errors, patient falls. Systemic Causes: Overburdened staff (low doctor-patient ratio, long shifts, attrition). Weak quality monitoring and low NABH accreditation (<5% of hospitals). Limited patient awareness, passive role in care decisions. India’s Initiatives Policy & Frameworks: National Patient Safety Implementation Framework (2018–25) – roadmap for embedding safety in clinical programs, event reporting, capacity-building. NABH (National Accreditation Board for Hospitals & Healthcare Providers) – standards on infection control, patient rights, medication safety. Institutions & Networks: Society of Pharmacovigilance, India – ADR (adverse drug reaction) monitoring. Patients for Patient Safety Foundation (PFPSF) – awareness to 14 lakh households weekly, supporting 1,100 hospitals and 52,000 professionals. Patient Safety & Access Initiative – focuses on medical devices regulation. Civil Society & Technology: CSR-funded campaigns, workplace health programs, safety tech (e-prescriptions, interaction alerts). WHO Global Patient Safety Action Plan promotes Patient Advisory Councils (PACs) – patient representation in hospital governance. Gaps & Challenges Accreditation: Out of 70,000+ hospitals in India (NHP 2023), fewer than 5% NABH-accredited. Awareness: Low patient literacy; hesitancy in questioning doctors. Implementation Gap: Policy exists but enforcement and monitoring remain weak. Resource Constraints: Public hospitals face overload; private sector highly fragmented. Overview Polity/Governance: Patient safety ties into Right to Health debates; requires stronger regulation and accountability. Social: Safety lapses disproportionately affect vulnerable groups – poor, elderly, children, women in maternity care. Economic: Unsafe care increases out-of-pocket expenditure; WHO estimates adverse events cost trillions globally. Technology: AI-driven prescription checks, EHRs, digital ADR reporting can reduce risks. International: WHO benchmarks provide templates; India’s progress modest compared to high-income countries with strong PACs and reporting culture. Way Forward Renew Patient Safety Framework (post-2025) with measurable targets. Strengthen NABH/NQAS accreditation coverage, link to insurance empanelment. Institutionalize Patient Advisory Councils in Indian hospitals. Integrate patient safety modules in MBBS, nursing curricula. Create national patient safety registry for transparent reporting of adverse events. Expand public participation: digital health literacy campaigns, family-based safety checklists. Unseen labour, exploitation: the hidden human cost of Artificial Intelligence Basics – Context of the News Automated Economy: Refers to increasing reliance on Artificial Intelligence (AI) and Machine Learning (ML) systems to perform tasks once handled by humans. Core Issue: While AI is seen as “self-learning” and autonomous, it is fundamentally dependent on invisible human labour—especially data annotators, moderators, and gig workers. Why It Matters: Challenges the myth of AI being “self-sufficient.” Raises ethical concerns on exploitation of low-paid workers in the Global South. Brings labour rights and digital economy regulations into the AI governance debate. Relevance: GS-III (Economy, Science & Technology): Future of work, gig economy, labour market disruptions. AI, ML, and automation ethics. GS-II (Polity & Governance): Labour rights, regulation of digital platforms, global supply chains. GS-I (Society): Social impact of digital labour exploitation in developing countries. Human Involvement in AI Development Data Annotation: Essential for training AI models—labelling text, images, video, and audio. Example: LLMs (ChatGPT, Gemini) learn meaning from labelled datasets. Self-driving cars need human-labelled data to distinguish pedestrians vs. traffic signs. Training Process of LLMs: Self-supervised learning → machine consumes raw internet data. Supervised learning → annotators refine the dataset. Reinforcement learning → humans provide feedback on AI responses. Specialised vs. Non-specialised Tasks: Some require domain expertise (e.g., medical scans, legal texts). Many companies hire non-experts to cut costs → leads to errors in outputs. Invisible Labour in “Automated” Features: Content moderation on social media → done by humans reviewing graphic/violent material. Voice and video AI → trained on performances by actors, including children. Ghost Work – Definition Ghost work refers to the invisible human labour that powers supposedly “automated” digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), and online platforms. It includes microtasks like data annotation, content moderation, labeling images/videos/text, training AI models, or cleaning datasets, often outsourced to low-paid workers in developing countries. The term highlights how these workers remain uncredited, underpaid, and hidden behind the façade of automation, even though their labour is indispensable to AI systems. Nature of Exploitation Geography of Ghost Work: Primarily outsourced to Kenya, India, Pakistan, Philippines, China. Wages and Conditions: Reported pay: <$2/hour for 8+ hours. Exposure to disturbing content → PTSD, depression, anxiety. Tight deadlines, surveillance, microtask-based pay. Labour Rights Violations: Companies circumvent local labour laws by outsourcing through intermediaries. Lack of transparency: workers often don’t know which Big Tech firm they are serving. Union busting and dismissal of workers raising concerns. Larger Structural Concerns AI’s “Dependence Myth”: Automation narrative hides human labour inputs. Global Inequality: Wealth and value captured in Silicon Valley, while labour exploitation occurs in the Global South. Informalisation of Digital Labour: Microtasking, subcontracting, gig-work fragmentation → workers have no bargaining power. Ethical & Social Costs: Mental health deterioration of moderators. Risk of bias/errors in AI outputs due to underqualified annotators. Potential exploitation of children in data collection. Policy and Regulatory Implications Transparency in AI Supply Chains: Companies must disclose labour networks behind AI models. Fair Wages and Labour Rights: Align digital work with ILO standards (decent work, safe conditions, collective bargaining). Global Governance of AI Labour: UN/ILO frameworks for digital gig work. Regulation of cross-border outsourcing and labour practices. National-Level Actions: Countries like India/Kenya/Philippines need to update labour laws for gig/digital workers. Formalisation of data annotation industry with minimum wage guarantees. AI Governance Debate Expansion: Current focus is on AI ethics, privacy, bias → must include labour justice. Overview Polity: Raises questions of labour rights, regulation of Big Tech, role of unions. Economy: Exploitation lowers wages globally, undermines sustainable digital economy. Society: Hidden suffering of moderators and annotators shapes the “clean” digital experience of billions. Ethics: Transparency vs. corporate secrecy in AI supply chains. International Relations: North-South divide in AI’s economic benefits vs. labour burdens. Way Forward Recognise “ghost workers” as integral to AI development. Establish global labour standards for AI-linked work. Strengthen worker protections: fair pay, mental health support, right to unionise. Push for AI supply chain audits just like environmental/ESG audits. Shift narrative from “AI is replacing humans” to “AI is built on human labour”. India Targets Record 119 MT Wheat Output in 2025-26 Basics – Context of the News Background: India achieved an all-time high wheat production of 117.51 million tonnes in Rabi 2024–25. For Rabi 2025–26, the Union Agriculture Ministry has set a higher target: 119 million tonnes. Significance of Wheat: Wheat is India’s second-largest foodgrain crop after rice. It is the main Rabi crop, covering over 30 million hectares. Vital for food security under NFSA and PMGKAY (subsidised grains to ~81 crore people). Overall Foodgrain Target: Govt has set 171.14 million tonnes for Rabi 2025–26. Wheat is the dominant share, followed by pulses, coarse cereals, and oilseeds. Relevance: GS-III (Economy, Agriculture): Food security, agricultural productivity, MSP and procurement. Crop diversification (pulses, oilseeds, millets). Climate-smart agriculture and input management. GS-II (Governance): Role of policies, schemes (e.g., Viksit Krishi Sankalp Abhiyan). GS-I (Geography): Cropping patterns, agro-climatic zones. Production Targets for 2025–26 (in mn tonnes) Wheat → 119 Maize → 14.5 Total Coarse Cereals → 16.55 Total Shri Anna (millets) → 3.17 Gram → 11.8 Total Pulses → 16.57 Total Foodgrains → 171.14 Groundnut → 0.74 Rapeseed & Mustard → 13.9 Key Drivers & Challenges Favourable Factors: Higher seed availability: 25 million metric tonnes of seeds already stockpiled (vs requirement of ~22.9 MT). Expected good rainfall in several parts of India → improves soil moisture. Government push for balanced fertiliser supply (coordination with Ministry of Chemicals & Fertilisers). Launch of Viksit Krishi Sankalp Abhiyan from Oct 3 → massive outreach to farmers for awareness, technology adoption. Challenges/Risks: Climate variability: untimely rains, heat waves during March (grain filling stage). Rising input costs (fertilisers, diesel). Regional disparities in productivity (Punjab/Haryana high, eastern India lagging). Storage and MSP procurement bottlenecks in bumper production years. Broader Agricultural Strategy Reflected Shift Beyond Wheat & Rice: Push for pulses and oilseeds (reduce import dependence: ~60% edible oil imported, ~20% pulses imported). Special focus on millets (Shri Anna) → nutrition security + climate resilience. Per-Hectare Productivity: Chouhan highlighted need for yield enhancement, not just acreage expansion. Crop-wise reviews, large-scale farmer meetings, and technology dissemination planned. Food Security + Export Angle: High output sustains NFSA and buffer stocks. Surpluses may open export opportunities, though govt often restricts wheat exports for domestic price stability. Economic & Policy Implications For Farmers: Assured procurement of wheat at MSP (₹2275/quintal in 2025–26). Possible rise in incomes if productivity improves without proportional input cost rise. For Economy: Higher wheat output → helps curb food inflation. Reduces import dependence (especially in pulses & oils if strategy succeeds). For Government: Balancing act between procurement, storage, and subsidy costs. Must ensure timely fertiliser/seed availability and irrigation support. Overview Polity/Governance: Strengthens govt’s food security narrative; supports welfare schemes. Economy: Contributes to agricultural GDP, inflation management, rural employment. Environment: Risk of over-dependence on wheat-paddy cycle (soil degradation, groundwater depletion). Need crop diversification. Technology: Precision farming, new HYVs, climate-resilient varieties critical for sustaining growth. International Relations: India could influence global wheat markets if production exceeds domestic demand. Way Forward Focus on climate-smart agriculture (heat/drought-resistant wheat varieties). Incentivise crop diversification into pulses/oilseeds to reduce import bills. Invest in post-harvest infrastructure (storage, cold chains, logistics). Encourage farm mechanisation and digital extension services. Link wheat strategy to broader goals of Doubling Farmers’ Income & Viksit Bharat 2047. Heavy Rains in the Himalayas: Interplay of Topography, Climate Change, and Rising Disaster Risks Basics – Context of the News Event: Uttarakhand, Himachal Pradesh, and other Himalayan states have witnessed extreme rainfall, landslides, and flash floods in recent weeks. Impact: At least 15 deaths in the last few days. Multiple landslides, blocked roads, swollen rivers, and destruction of property. Pattern: Monsoon activity intensified in northwestern India. Region received 34% surplus rainfall in August 2025. Some districts received rainfall equivalent to an entire year’s quota in just 24–48 hours. Relevance: GS-I (Geography): Monsoon variability, orographic rainfall, Himalayan topography. Disaster-prone areas (cloudbursts, landslides, flash floods). GS-III (Environment, Disaster Management): Climate change impacts, glacial melt, NDMA role. Vulnerability mapping and risk reduction strategies. Why do hilly regions receive more rainfall? Topography effect: Hills force moisture-laden winds to rise, cooling them and causing rainfall (orographic effect). Sequential rain-bearing systems: Low-pressure systems from the Bay of Bengal travel northwards, increasing rainfall in the Himalayas. Seasonal behaviour: Northwest India often gets late-season (August–September) monsoon surges. Data Highlights (Rainfall Departures) All-India Rainfall Departure (Aug 14–Sep 10): consistently above normal. Northwest India Rainfall: Aug 21–27: +132% Aug 28–Sep 3: +182% Sep 4–10: +57% Cumulative Rainfall (till Sep 15, mm): Uttarakhand: 1192 mm (+134%) Himachal Pradesh: 702 mm (+22%) J&K: 611 mm (+57%) Ladakh: 280 mm (+33%) Punjab/Haryana/Rajasthan: above/below normal but not as extreme as hill states. Why are hilly regions more vulnerable? Steep slopes + fragile geology → high risk of landslides. Rivers/streams descend rapidly → cause flash floods. Narrow valleys funnel water and debris → more damage. Infrastructure exposure: roads, bridges, houses often located close to rivers and slopes. Examples: Udhampur (J&K) 630 mm rain in 24 hours; Leh–Ladakh 59 mm in 48 hours (highest since records began). Role of Climate Change Warming atmosphere → holds more moisture, increases intensity of downpours. Changing monsoon patterns → longer dry spells + short bursts of extreme rainfall. Rising global temperatures → accelerates melting of Himalayan glaciers and snow, adding to flash floods. Extreme weather events becoming more frequent: Sudden cloudbursts. Intensification of western disturbances. Increased variability in rainfall distribution. Disaster Linkages Not all heavy rains = disasters, but in Himalayas: Weak slopes + construction + deforestation magnify risks. Cloudbursts + extreme rainfall → landslides + flash floods. Example: Mandi, Kullu, Dharali, Tharali saw severe damage to homes, bridges, and crops. Human factor: Unregulated construction, road widening, and riverbank encroachments worsen vulnerability. Overview Polity/Governance: State disaster preparedness, early warning systems, NDMA policies. Economy: Damage to roads, hydropower projects, tourism industry, agriculture. Society: Loss of lives, displacement, trauma in vulnerable hill communities. Environment: Deforestation, slope destabilisation, glacial retreat exacerbate risks. Technology: Need for better forecasting, Doppler radars, satellite monitoring. Way Forward Strengthen early warning systems + last-mile connectivity in Himalayan states. Enforce scientific land use planning (ban construction in eco-sensitive zones). Promote climate-resilient infrastructure: slope stabilisation, drainage systems, safe housing. Invest in watershed management (afforestation, river restoration). Integrate climate change adaptation into state disaster management plans. Regional cooperation for Himalayan ecosystem sustainability (since many rivers are transboundary).