JULY 15,2026 CURRENT AFFAIRS
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Default Judgment Trial A Special NIA Court in Jammu issued a non-bailable warrant against Pakistan-based Lashkar-e-Taiba chief Hafiz Saeed in connection with the Pahalgam terror attack case. » The NIA may seek his trial in absentia under Section 356 of the Bharatiya Nagarik Suraksha Sanhita (BNSS), 2023. Trial in Absentia » Trial in absentia refers to a criminal trial conducted in the absence of the accused. » Under Section 356 of the BNSS, a court may conduct the inquiry, trial and pronounce judgment against a proclaimed offender who has deliberately absconded to evade trial and has no immediate prospect of arrest. Origin and Legal Background: » Under the earlier Code of Criminal Procedure (CrPC), 1973, provisions existed to deal with absconding accused, but they did not generally permit a complete trial culminating in judgment in their absence. » Section 82(4) of CrPC provided for declaring certain absconding accused as proclaimed offenders, while Section 299 allowed recording evidence in the absence of an absconding accused when there was no immediate prospect of arrest. » Section 317 of CrPC permitted proceedings in the accused’s absence in specified circumstances where personal attendance was considered unnecessary or the accused persistently disturbed court proceedings. » The BNSS introduced Section 356, creating a specific framework for conducting a full-fledged trial and pronouncing judgment in the absence of a proclaimed offender. Key Features of Trial in Absentia under BNSS: » Limited to Proclaimed Offenders: It does not apply to every absent accused. The person must first be declared a proclaimed offender under Section 84(4) of the BNSS. » Applicable to Serious Offences: The accused must face an offence punishable with at least 10 years’ imprisonment, life imprisonment or death under the BNS or any other law. » Deliberate Absconding Required: The court must be satisfied that the proclaimed offender has absconded to evade trial and that there is no immediate prospect of arrest. » Absence Treated as Waiver: After recording reasons in writing, the court may treat deliberate absence as a waiver of the right to be present and proceed with the inquiry, trial and judgment. » Two Consecutive Arrest Warrants: Before commencing the trial, two consecutive warrants of arrest must be issued at an interval of at least 30 days. » Mandatory Public Notice: A notice giving the accused 30 days to appear must be published in a local or national newspaper and displayed at the accused’s last known residence. » 90-Day Waiting Period: The trial cannot begin until 90 days have elapsed from the date of framing of charges, providing sufficient opportunity for the accused to appear. » Audiovisual Recording of Evidence: Witness examination and depositions should, as far as practicable, be recorded through audio-visual electronic means and preserved, promoting transparency and facilitating subsequent judicial review. |
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Engineering Partnership Model Tech giants are expanding Forward Deployed Engineering (FDE) roles to turn AI pilots into measurable business value. The role is rapidly emerging as a high-demand, high-paying AI career globally and in India. Forward Deployed Engineering (FDE) » Forward Deployed Engineering (FDE) is a multidisciplinary role combining software engineering, AI implementation, solutions architecture and business consulting. FDEs work directly with clients to deploy AI solutions in real-world business environments. » Aim: The primary aim is to close the AI value gap by converting experimental AI models into secure, practical workflows that improve business efficiency, productivity and revenue. How It Works? » Direct Client Integration: FDEs work closely with clients to understand real-time business problems, integrate sensitive enterprise data securely and rapidly build customised AI solutions. » Cross-Model Orchestration: They integrate AI models from multiple providers and open-source platforms into unified workflows, reducing dependence on any single technology vendor. » Standardised Interoperability: FDEs use protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A) to enable different AI agents and cloud platforms to communicate effectively. Key Features of the FDE Domain: » High-Premium Compensation: Strong demand and limited skilled talent make FDE one of the highest-paying emerging AI careers, with lucrative opportunities in both global and Indian markets. » Two-Pronged Talent Pool: Tech graduates primarily handle coding and data pipelines, while technically fluent MBAs translate business challenges into technology roadmaps and manage client relationships. » Rapid Global and Indian Demand: FDE job opportunities are expanding rapidly across AI companies, IT consulting firms and Global Capability Centres as enterprises scale AI adoption. » University Educational Pivot: Leading Indian institutions are introducing specialised programmes in forward-deployed AI, data analytics and agentic AI to meet growing industry demand. Key Applications: » Designing Resilient Enterprise Workflows: FDEs integrate AI with ERP, CRM and supply-chain systems to automate processes, predict disruptions and improve real-time decision-making. » Mitigating Technology and Compliance Risks: Multi-model orchestration reduces vendor dependence, protects sensitive data and helps enterprises manage geopolitical, regulatory and technology risks. » Emergency and Humanitarian Logistics: FDEs develop localised AI systems for satellite-image analysis, disaster response and drone logistics, including in areas with disrupted communication networks. |
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Global Food Standards Council India secured major advancements at the 49th Session of the Codex Alimentarius Commission (CAC49) held in Geneva, Switzerland, where the commission officially adopted seven food standards and guidelines developed under Indian leadership. The Codex Alimentarius Commission » The Codex Alimentarius (Latin for Food Code) is a comprehensive collection of internationally recognized and adopted food standards, guidelines, codes of practice, and related recommendations. Rather than operating as an independent, legally binding regulation, it serves as a scientifically backed international reference guide to help countries harmonize their sovereign food laws. Established In: The Codex Alimentarius Commission (CAC) was established in early November 1961 by the Food and Agriculture Organization (FAO), with the World Health Organization (WHO) joining in June 1962. Primary Aim: The foundational goals of the Codex system are threefold: » Protecting the health of consumers worldwide. » Ensuring fair and ethical practices in the international food trade. » Facilitating transparent global trade by removing unnecessary technical barriers. Key Functions of the Codex System: » Science-Based Operational Limits: Sets maximum permissible levels for food additives, contaminants, toxins, pesticide residues and veterinary drug residues. » Independent Risk Assessment: Uses scientific evidence from expert bodies such as JECFA to develop objective, science-based food safety standards. » Standardised Labelling and Hygiene: Develops globally harmonised standards for food labelling, processing, packaging and hygiene practices. » Global Trade Reference: Serves as the WTO-SPS reference for food safety; stricter national measures generally require scientific justification. Recent Outcomes of the 49th Session: » Adoption of India-Led Commodity Standards: The Commission formally adopted standalone international quality benchmarks for Dried Coriander Seeds and Fresh Curry Leaves developed under India’s chairmanship, facilitating smoother export channels for South Asian spices. It also adopted unified standards for Vanilla and Large Cardamom developed under India’s co-chairmanship. » Launch of New Cashew Kernels Standard: The CAC49 approved India’s targeted proposal to formulate a brand-new international Codex Standard for Cashew Kernels under the Codex Committee on Processed Fruits and Vegetables (CCPFV), aiming to reduce technical trade friction for global tree nuts. » Election to New Food Technology Groups: India was elected Co-Chair of the newly established Electronic Working Group on New Food Sources and Production Systems (NFPS), putting the nation at the center of evaluating risk analysis principles for future global food technologies. » Broader Global Safety Revisions: The 49th Session adopted revised global control guidelines to reduce severe foodborne illnesses, specifically targeting the control of Listeria monocytogenes in ready-to-eat products and Campylobacter and Salmonella in poultry. |
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High Asia Plateau A new international study published in Nature Geoscience by UK and Chinese geoscientists has revealed direct structural evidence detailing how the Tibetan Plateau was formed. The Tibetan Plateau » The Tibetan Plateau—also known as the Qinghai-Tibet Plateau, the Tibetan Highlands, or the Roof of the World—is the highest and largest upland area on Earth. It is a vast, elevated region of tangled mountain belts and high-altitude valleys that functions as a primary driver of the global climate system. Location and Boundaries: » Geographical Core: Situated in southwestern China, it encompasses the entirety of the Tibet Autonomous Region, much of Qinghai province, and extends into western Sichuan and the southern Xinjiang region. » Mountain Framework: The plateau is geographically bound by the Kunlun Mountains and associated ranges to the north, and the Himalayas and Karakoram Range to the south and southwest. It extends eastward to the Daxue and Hengduan mountain chains. Formation of the Tibetan Plateau: » Stage 1: Initial Continental Collision: Around 50 million years ago, the northward-moving Indian Plate collided with the Eurasian Plate, closing the Tethys Ocean and initiating crustal deformation. » Stage 2:Deep Crustal Subduction: The Indian Plate was forced beneath the Eurasian Plate, thickening the continental crust and causing massive uplift of the Tibetan Plateau. » Stage 3: Differential East-West Uplift: Between 45 and 20 million years ago, uplift occurred unevenly, with western Tibet experiencing earlier subduction, rock exhumation and topographic changes than central regions. Key Geographical and Structural Features: » Massive Spatial Dimensions: The Tibetan Plateau covers about 5 million sq km, with an average elevation exceeding 4,500 metres, making it the world’s highest and largest plateau. » World’s Highest Topographic Edge: Its southern margin is bordered by the Himalayas, including Mount Everest, the world’s highest peak, on the Nepal-China border. » Qiangtang Northern Lake Region: Northern Tibet’s Qiangtang region is a cold, arid, high-altitude landscape dotted with numerous saline and brackish lakes. » Zoned Ecosystems and Agriculture: Grasslands support yak grazing, southern valleys contain forests, while fertile river valleys favour agriculture, particularly barley cultivation. Significance: » The Tibetan Plateau feeds major rivers such as the Indus, Brahmaputra, Yangtze, Yellow, Mekong and Salween, supporting billions of people downstream. » Its vast elevated surface acts as a thermal engine, influencing atmospheric circulation and helping drive the timing and intensity of the South Asian monsoon. |
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National Services Benchmark The Government of India released the first sub-sectoral trial Index of Services Production (ISP) for April 2026, covering 19 sub-sectors representing nearly 60% of India’s services sector. The Index of Services Production (ISP) » The Index of Services Production (ISP) is India’s first high-frequency macroeconomic indicator dedicated to measuring the performance of the services sector. » It tracks short-term changes in the volume of output produced by the formal services sector relative to a specified base year. Published By: The ISP framework has been developed by the Ministry of Statistics and Programme Implementation (MoSPI). Aim: To provide a dedicated, high-frequency measure of services sector output, filling the statistical gap left by the Index of Industrial Production (IIP), which measures only industrial activity. How Is the ISP Calculated? » The Deflator Requirement: Because primary service sector output data is collected in value terms, it naturally blends actual output with price fluctuations. The ISP requires price deflators to transform value-based (nominal) data into volume-based (real) data, isolating actual changes over time. » Deflator Allocation Matrix: Currently, different price deflators are used based on the sub-sector:
» The Underlying Data Ecosystem: The compilation draws from three main data pillars:
Key Features of the Index of Services Production: » Base Year: 2024–25:The ISP uses 2024–25 as its base year, aligning it with other statistical sub-sectors that use the new 2024-based Consumer Price Index series. » High-Frequency Monthly Indicator:The ISP is designed as a monthly indicator to track short-term fluctuations in services output and provide more timely information on economic activity. » Release Schedule:Regular monthly trial indices will be published with a lag of approximately 60 days, generally on the 29th of every month or the next working day if the 29th is a holiday. » Initial Coverage of 19 Sub-Sectors:The first trial ISP for April 2026 covered 19 service sub-sectors, accounting for approximately 60% of India’s services sector. Of these, 14 recorded double-digit year-on-year growth. » Major Growth-Performing Sub-Sectors: The five strongest-performing sub-sectors in April 2026 were
» First-Ever Statistical Use of GST Data: The ISP marks the first use of GST data for statistical applications. GST information will support measurement across wholesale and retail trade, accommodation and food, and arts and entertainment, among others. » Excluded Service Sub-Sectors: The ISP currently excludes:
» These sectors are excluded because they are associated with core government activities, non-market services or significant informal-sector dominance. » International Best-Practice Framework:The ISP methodology was developed with reference to international practices, particularly the OECD Compilation Manual for Index of Services Production (2007) and guidance from Eurostat. Significance of the Index of Services Production: » The Index of Industrial Production (IIP) measures only industrial activity and cannot capture short-term trends in services. The ISP provides a dedicated high-frequency measure for India’s largest economic sector. » Since services contributed nearly 9% of India’s GVA in 2024–25, a dedicated high-frequency indicator can improve the accuracy and timeliness of national income and growth estimates. |
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National Seva Samman Union Labour Minister highlighting ‘Seva’ (service) and ‘Samman’ (respect) for India’s Shram Shakti as central to governance and worker welfare. Seva and Samman for the Nation''s Shram Shakti What It Is? » ‘Seva’ and ‘Samman’ represent a worker-centric ethical governance approach that places the service, dignity, health, social security and welfare of India’s workforce at the heart of national development. » It recognises Shram Shakti (labour force) not merely as an economic input but as a vital pillar of nation-building deserving dignity, respect and comprehensive social protection. Key Features: » Dignity of Labour: Every worker deserves recognition and respect, affirming the intrinsic dignity of all forms of honest labour. » Ethics of Care: Healthcare and social security recognise workers as human beings with physical, social and familial needs beyond economic productivity. » Security for the Vulnerable: Expanding ESIC coverage promotes equitable access to healthcare and social protection, advancing social justice. » Reciprocity and Shared Responsibility: Cooperation among workers, employers and the State promotes harmonious industrial relations and sustainable national development. Significance: » India’s social security coverage has expanded from 19% in 2014 to over 64%, covering 94 crore people, strengthening protection against economic and social vulnerabilities. » By placing the dignity, health and welfare of workers at the centre of development, the approach strengthens productivity, social cohesion and the broader vision of Shramev Jayate and a developed India. |
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Principled AI Prompting A recent analysis has highlighted that AI ethics requires more than voluntary corporate pledges, calling for structural safeguards against algorithmic bias, mass surveillance, data extraction, copyright violations, and labour exploitation. Ethical AI and Conscience Prompting What is Conscience Prompting? » Conscience prompting is an advanced system-level engineering technique that embeds explicit ethical guidelines, human values, and contextual moral constraints directly into the foundational input prompts or instruction sets of Large Language Models (LLMs) and Generative AI systems. » Rather than relying solely on post-facto content filtering or unexplainable algorithms, conscience prompting forces the system to evaluate its own outputs through a structured moral framework before displaying them to the user. » It functions as a built-in digital conscience, guiding the AI to actively identify and suppress toxic generation, structural societal bias, and misinformation. Key Features of Conscience Prompting: » System-Level Constitutional Anchoring: It integrates structural rules—such as Anthropic’s Constitutional AI—requiring the system to check its outputs against core concepts of helpfulness, harmlessness, and honesty. » Dynamic Structural Bias Detection: The model evaluates its own language generation to catch subtle discrepancies in word choices, preventing discriminatory shifts when analyzing personal characteristics. » Human-Centric Value Alignment: It uses a foundational prompt structure based on established frameworks, such as the UN Universal Declaration of Human Rights, rather than narrow commercial goals. » Transparent Verification Trails: The prompting system requires the AI to explain the reasoning and step-by-step logic it used to align its final output with its internal rules. The Imperative Need for Conscience Prompting in Modern Times: » Dismantling Embedded Structural Injustices: Standard AI models reflect historical social hierarchies and inequalities present in their training data. Example: Audit studies like the landmark Gender Shades research showed that facial recognition tools suffered high error rates for darker-skinned women because the underlying datasets lacked diverse representation. » Countering Algorithmic Gender Bias: AI tools routinely warp language framing based on gendered names, even when the underlying skills or data are exactly the same. Example: Real-world tests showed that changing a resume’s first name from Jennifer to Jeff caused Gemini to upgrade the description of the exact same project from community service to leadership. » Halting Discriminatory Feedback Loops: Predictive software applications reinforce past biases by directing excessive state resources toward historical hotspots. Example: Unchecked predictive policing systems deployed from New Delhi to Detroit focus heavy surveillance on over-policed communities, generating skewed data that falsely labels those areas as high-risk zones. » Protecting Vulnerable Demographic Target Groups: Systems trained without ethical prompts can produce biased metrics that harm marginalized populations in essential sectors like finance and medicine. Example: Credit-scoring algorithms trained on legacy banking logs regularly replicate historical economic exclusions, blocking credit access for lower-income applicants. Key Challenges Associated with Conscience Prompting: » Western Bias in Core Datasets: Most leading AI engines are developed by Silicon Valley firms, encoding specific regional assumptions onto global users. Example: Current constitutional models continue to mirror the values of Western, educated datasets, leaving communities in Noida or Nairobi without a seat at the table when rules are written. » The Growth of Corporate Ethics Washing: Big Tech firms frequently adopt terms like trustworthy AI as marketing tools to avoid outside scrutiny and binding legislation. Example: Massive tech firms use internal corporate policy statements as public relations shields while keeping their actual software models insulated from public accountability. » Exploitative and Severe Global Labor Disparities: Cleaning and testing raw data to ensure prompt compliance depends on low-wage contractors working under difficult conditions. Example: Silicon Valley firms outsource data-labeling and content moderation to workers in Kenya and the Philippines, exposing them to disturbing digital content that causes documented psychological harm. » High Technical Evasion and Jailbreaking Risks: Creative adversarial prompting can bypass system-level rules, allowing users to trick the AI into ignoring its moral framework. Example: Online communities use complex roleplay inputs to disable a model’s safety settings, causing the AI to generate harmful instructions. Methods to Develop Conscience Prompting: » Integrating Enforceable Proportionality Filters: Embed explicit instructions inside system prompts to enforce absolute safety limits on surveillance, bias, and data extraction. » Deploying Automated Double-Pass Self-Correction: Program a mandatory internal review step where a second, independent prompt layer checks the AI’s draft response against structural safety rules before displaying it. » Using Diverse Global Datasets: Broaden the training base by incorporating indigenous knowledge and diverse language perspectives from the Global South. » Mandating Public Accountability Audits: Build independent oversight frameworks that allow external researchers to verify how well a model’s prompt guardrails handle real-world scenarios. » Enforcing Context-Aware Equality Benchmarks: Implement strict prompt guidelines that require the AI to use neutral, non-discriminatory verbs and professional framing across all gender profiles. Conclusion: Conscience prompting offers a practical technical method to help models identify and correct historical biases, but it cannot serve as a total substitute for external accountability. Ultimately, true safety will be achieved only when governments set clear, enforceable limits on mass surveillance and data extraction, ensuring that technology serves human rights rather than corporate profits. |
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Ravidassia Heritage Forum Thousands of Ravidassia community members gathered in Phagwara, Punjab, renewing their demand for recognition of Ravidassia as a separate religion in the upcoming Census. The Ravidassia Community » The Ravidassias are a distinct socio-religious Dalit community who follow the spiritual teachings, egalitarian philosophy, and mystic poetry of Guru Ravidas, a highly revered 15th-to-16th century saint of the Bhakti Movement. Habitat and Demographics: » Primary Concentration: The bulk of the community—comprising nearly 12 lakh individuals—resides in the Doaba region of Punjab, which spans the districts of Jalandhar, Hoshiarpur, Kapurthala, and Nawanshahr. » Broader Footprint: Combined with the allied Ad Dharmi movement, the community stands at over 30.95 lakh members, representing more than 11% of Punjab’s entire population and forming a major chunk of the state’s 32% Dalit demographic. History and the 2009 Turning Point: » Dera Sachkhand Ballan: Founded by Baba Sant Pipal Das, it emerged as the principal institutional and spiritual centre of the Ravidassia community. » Vienna Attack, 2009: An armed attack on a Ravidassia congregation in Vienna killed Sant Ramanand and injured several devotees, triggering widespread protests in Punjab. » Declaration of Separate Faith: In 2010, Dera Sachkhand Ballan formally declared the Ravidassia panth a separate faith, consolidating its independent religious identity. Key Features of the Ravidassia Faith: » Sovereign Scripture — Amritbani: The Amritbani Guru Ravidas Ji, containing 200 hymns attributed to Guru Ravidas, serves as the community’s distinctive sacred text. » Concept of Begampura: Guru Ravidas envisioned Begampura, or the city without sorrow, as a caste-free and egalitarian society without exploitation, fear or discrimination. » Independent Worship and Symbols: The community maintains distinct places of worship, religious greetings and sacred symbols, including the ‘Har’ insignia. » Major Pilgrimage Centre: Seer Goverdhanpur in Varanasi, the birthplace of Guru Ravidas, is the community’s major pilgrimage destination, attracting lakhs of devotees annually. Significance: » A separate Census category could provide accurate demographic data, prevent administrative misclassification and formally recognise the community’s distinct religious identity. » With substantial electoral influence in the Doaba region, the Ravidassia community plays an important role in Punjab politics and broader debates over Dalit representation and identity. |
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Thukkachi Heritage Mandir The 12th-century Abathsahayeswarar Temple at Thukkachi received global recognition after being conferred the prestigious UNESCO Asia-Pacific Award of Distinction (2024) for outstanding heritage conservation. The Thukkachi Temple » The Abathsahayeswarar Temple is a historic 12th-century Hindu shrine that stands as a remarkable testament to the architectural brilliance of the later Chola period. It is designated as a living historic temple, meaning it continues to function as an active house of worship while being preserved as a protected heritage monument. Location: Situated in the Thanjavur district of Tamil Nadu, India. History: » Royal Foundations: The temple is closely associated with the later Chola emperors Kulottunga I and his son Vikrama Chola. Kulottunga I initially endowed the shrine specifically for the daily recitation of sacred Thevaram hymns. » The Vikrama Chola Connection: It holds unique historical significance as perhaps the only major temple built entirely during the reign of Vikrama Chola, who expanded and renovated the earlier structure. » Epigraphical Epithalamium: Historical inscriptions found on the temple walls refer to Thukkachi as Thenthirukalathi or Vikramacholeeswaram. Key Architectural and Structural Characteristics: » Unique Chariot Design (Kara Kovil): The temple is structurally conceived and designed as a Kara Kovil—a rare architectural style in Tamil history where the temple sanctuary is built in the physical shape of a processional chariot. » Oldest Lord Sarabeshwarar Depiction: The complex houses a highly revered idol of Lord Sarabeshwarar, which is widely considered by historians to be one of the absolute oldest stone iconographic representations of this specific deity in existence. » Precision Digital Anastylosis: The restoration used drone surveys and digital mapping to catalog the structure. Every single shifting granite block was individually numbered before being dismantled and later reassembled into its precise, original position. » Interdisciplinary Sthapatya Veda Framework: The conservation combined traditional temple-building knowledge (Sthapatya Veda) and Agama Shastra rules with modern conservation engineering, utilizing traditional sthapathis alongside contemporary structural engineers. Significance: » The ₹5-crore Thukkachi restoration became a successful pilot, with its conservation methods incorporated into Tamil Nadu’s official Manual for Temple Restoration and Conservation. » Local residents contributed funds and received conservation training, creating a sustainable model of community ownership and long-term heritage guardianship recognised by UNESCO. » Adjournment Motion (Rule 56): Similar in spirit to Rule 267. It interrupts the regular business of the Lok Sabha to discuss a definite matter of urgent public importance, involving an element of censure against the government. |