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July 3, 2025 Current Affairs
Mains Analysis
Gig Workers in India: Bridging Data Deficits for Inclusive Labour Representation India’s primary labour survey, the Periodic Labour Force Survey (PLFS), has faced criticism for its inability to accurately reflect the rising population of gig and platform-based workers, despite policy acknowledgments and new welfare measures targeting this group. With a shift in the nature of employment, India''s labour market is undergoing a fundamental transformation. Gig and platform jobs — such as ride-hailing, food delivery, online freelancing, and home-based services — are becoming increasingly prevalent, operating largely outside the conventional employer-employee setup. According to a 2022 report by NITI Aayog, the gig workforce is expected to reach 23.5 million by 2029–30. Recognising this change, the 2025 Union Budget expanded several social protection initiatives to include gig workers. However, the PLFS, which remains the country''s key source of employment data, does not adequately capture this evolving segment of the labour force. Legal Framework and Policy Foundations The Code on Social Security, 2020, formally acknowledged gig and platform workers, defining them as individuals engaged in work outside the traditional employment model. Platform work, in particular, involves earning income through digital platforms that connect workers to clients. While Section 2(35) provides a broad definition, it does not clearly distinguish gig workers from self-employed or casual labourers. Importantly, Clause 141 mandates the establishment of a Social Security Fund for unorganised and gig workers, and the National Social Security Board (as per Section 6) is responsible for overseeing related welfare schemes. However, for these policies to be effective, they depend heavily on accurate, detailed labour data — which remains lacking. Challenges with the PLFS 1. General Inclusion, Specific Exclusion The Ministry of Statistics and Programme Implementation has noted that all income-generating activities are technically captured in the PLFS. However, the survey lacks a specific identifier for gig workers. As a result, they are grouped under generic categories like ‘self-employed’, ‘own-account worker’, or ‘casual labour’. This broad classification overlooks key features of gig work:
This “statistical invisibility” not only masks the true scale of gig work but also obstructs access to targeted welfare and protections. 2. Misclassification of Work Types Current survey design leads to misrepresentation. For instance, a shop owner and a food delivery agent working via Swiggy or Zomato may both be listed as self-employed — despite having drastically different job structures, income risks, and dependencies. Gig work is typically marked by:
These aspects are currently not reflected in PLFS coding, weakening the quality of labour data that informs policy decisions. Progress with Limitations: Acknowledgment Without Adequate Representation Government programs like e-Shram, Ayushman Bharat PM-JAY inclusion, and digital worker IDs have attempted to bring gig workers into the formal social protection fold. However, without concurrent reform in labour statistics, it is difficult to assess coverage, monitor implementation, or identify who is being left out. The 2025 revision of the PLFS brought certain methodological improvements, such as increased sample sizes, monthly reporting, and broader rural data. Yet, it still stops short of establishing a clear statistical identity for gig and platform workers. The Way Forward: Building Inclusive Labour Data To align labour statistics with emerging employment realities, India must:
Accurate and inclusive data is not merely about better representation — it is essential for designing and delivering fair, responsive welfare systems that reflect today’s diverse labour landscape. |
Madras High Court Strikes Down Unlawful Phone Surveillance Order In a significant ruling with wide-reaching constitutional consequences, the Madras High Court annulled a 2011 phone-tapping directive issued by the Union Ministry of Home Affairs (MHA), declaring it unconstitutional. The Court found that the surveillance was conducted without satisfying the legal prerequisites of a “public emergency” or a threat to “public safety,” thereby violating the right to privacy under Article 21 of the Indian Constitution. Key Takeaways from the Judgment Violation of Article 21 – Right to Privacy The Court held that telephone interception is a serious invasion of privacy, permissible only when it strictly complies with procedures established by law. A critical observation by the Court: “The impugned order does not meet the thresholds of ''public emergency'' or ''public safety''... It is a secretive operation which falls outside the legal framework laid down by the Supreme Court.” Case Background
Legal Context and Judicial Reasoning Relevant Laws and Rules
Supreme Court Precedents Cited
Constitutional Significance The ruling traces the evolution of privacy as a legal right, from its roots in British common law to seminal US cases like Katz v. United States, and finally to its full recognition by the Indian Supreme Court in Puttaswamy. The Court emphasized that executive action without legal backing endangers constitutional democracy, and any restriction on fundamental rights must uphold due process, aligning with principles of natural justice and civilised governance. Conclusion This landmark judgment serves as a strong judicial check against unauthorized surveillance, underlining the boundaries of executive authority in the digital age. It reinforces that individual liberties cannot be compromised without lawful justification and reiterates the judiciary''s pivotal role in upholding democratic values and the right to privacy under Article 21. |
US Courts Uphold Fair Use in AI Training: Key Copyright Battles Underway In two pivotal rulings, US courts have backed tech companies developing generative AI, addressing for the first time whether using copyrighted material for AI training constitutes infringement. The decisions lean in favour of fair use, potentially shaping how courts interpret similar cases going forward. Generative AI systems—like ChatGPT and Gemini—depend on vast datasets that include books, articles, and online content. While authors and content creators have sued for unauthorized use, tech firms argue that such use is “transformative” and qualifies as fair use under US copyright law. Although the two court cases followed different legal tracks, both concluded that AI training could fall within fair use, especially when the resulting output is new and serves broader public purposes. Case 1: Writers vs Anthropic – Fair Use Confirmed In August 2024, authors Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson filed a class action suit against Anthropic, developer of the Claude AI models. They claimed their books had been used without permission, damaging their livelihoods by enabling low-cost, AI-generated alternatives. Court’s Ruling: Training Qualifies as Fair Use The Northern District of California ruled in Anthropic’s favour. The judge found the training process to be transformative, not replicating or substituting the original works. Instead, it was likened to how a person reads and learns from books to create new ideas. Judge’s Quote: “Like any reader aspiring to be a writer, Anthropic’s LLMs trained upon works… to create something different.” Under the fair use doctrine, limited use of copyrighted material is permissible for purposes such as education, commentary, research, and news reporting. Case 2: Writers vs Meta – Court Sides with Tech, Highlights Ethical Gaps In a separate class action, 13 authors sued Meta, alleging that its LLaMA models were trained on unauthorized copies of their work. The writers argued the AI could reproduce content resembling their copyrighted material. Court’s Ruling: No Demonstrable Market Harm The judge ruled in Meta’s favour, stating that the plaintiffs did not show how the AI''s output harmed the commercial market for their original works. The court acknowledged the transformative nature of AI-generated content, while also cautioning that tech firms should consider compensating creators fairly. Key Note: Though Meta won, the court acknowledged the broader ethical concern—creators deserve recognition and possibly remuneration in an AI-driven economy. Wider Legal Landscape: Unsettled and Expanding Legal challenges are far from over:
Indian Media Takes Legal Action In 2024, Asian News International (ANI) filed a lawsuit against OpenAI, accusing it of misusing Indian news content. Other major Indian outlets—such as The Indian Express, Hindustan Times, and NDTV—joined the cause through the Digital News Publishers Association (DNPA), indicating growing legal momentum in India. Implications: Legal Support, But No Clear Resolution The US rulings support AI companies by recognising their training practices as fair use, setting early precedent. However, they don’t resolve the bigger questions:
Conclusion These landmark rulings mark a turning point in the legal regulation of generative AI. While they provide short-term clarity for developers, they also highlight enduring ethical and economic tensions. As lawsuits continue across jurisdictions, the future of copyright in the age of AI remains highly contested and evolving. |
WHO Report on Social Connection: Addressing the Global Loneliness Crisis The World Health Organization’s Commission on Social Connection has released a significant report emphasizing how loneliness and social isolation affect global health, mental well-being, and community life. The report outlines the scale of the problem, its health and socio-economic consequences, and provides a roadmap to strengthen human connections across societies. Understanding Social Connection and Disconnection
This disconnection can take two main forms:
Key Findings from the Report
Underlying Causes of Disconnection The report identifies several contributing factors:
Global Roadmap for Building Connection The WHO outlines a multi-level approach to reversing this trend:
Conclusion The WHO’s report underlines that social connection is a public health priority, not just a personal matter. By treating loneliness and isolation as serious threats to global well-being—and taking coordinated policy, research, and community action—we can build healthier, more resilient societies rooted in empathy, inclusion, and belonging. |
Model Rules for Tree Felling on Agricultural Land: A Push for Agroforestry Reform Context: What Are the Model Rules? These rules outline a standardized, simplified process for registering plantations, felling trees, and transporting timber grown on agricultural land. Aligned with the National Agroforestry Policy 2014, they support India’s commitments to climate action, sustainability, and rural development. Key Provisions of the Model Rules
Challenges and Concerns
Why These Rules Matter
Conclusion The Model Rules for Felling Trees in Agricultural Lands represent a forward-looking policy to unlock the full potential of agroforestry in India. To translate this vision into reality, the government must ensure timely digital infrastructure, improve awareness and capacity building, and work closely with states for uniform and fair implementation. Done right, these rules can support both ecological sustainability and rural economic transformation. |
Spain and Brazil Call for Global Tax on the Super-Rich to Tackle Inequality At the UN’s 4th International Conference on Financing for Development, held in Seville, Spain and Brazil jointly proposed a bold initiative to increase tax contributions from High-Net-Worth Individuals (HNIs) globally. The proposal is part of the Seville Platform for Action, which promotes voluntary efforts to fast-track the achievement of the Sustainable Development Goals (SDGs). Core Proposals:
Why This Is Needed:
Related Global and National Initiatives: Global:
India:
Conclusion: The Spain-Brazil initiative signals growing international momentum for progressive taxation and global wealth transparency. By ensuring the ultra-rich contribute fairly, such measures aim to reduce inequality, strengthen public finances, and bridge the funding gap for sustainable development. If backed globally, it could reshape the architecture of international tax justice. |
Prelims Bytes
Iran Suspends Cooperation with IAEA Amid Escalating Tensions Context: Following joint airstrikes by the United States and Israel on Iranian nuclear facilities—triggered by an IAEA board resolution declaring Iran in violation of the Nuclear Non-Proliferation Treaty (NPT)—Iran has passed legislation suspending cooperation with the International Atomic Energy Agency (IAEA). About the IAEA’s Role in the NPT Framework:
Implications of Iran''s Move: Iran’s suspension marks a serious setback to international nuclear diplomacy and reflects the broader decline in the influence of global institutions. Trends Highlighting Erosion of Global Governance Structures:
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Quad Launches Critical Minerals Initiative for Supply Chain Security Context: The Quad countries—India, the US, Japan, and Australia—launched the Critical Minerals Initiative to strengthen collaboration on securing, diversifying, and recycling critical mineral supply chains, which are essential for clean energy, electronics, and defense sectors. Why This Matters: 1. Supply Chain Vulnerabilities:
2. Strategic Importance:
3. Recycling and Sustainability Challenges:
Other Key Initiatives to Secure Critical Mineral Access: India’s Domestic Measures:
International Collaborations:
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Volume Weighted Average Price (VWAP)
Pros:
Cons:
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Transition Bonds
They are a sub-category of green debt securities as defined by SEBI regulations.
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Standing Deposit Facility (SDF) and Marginal Standing Facility (MSF)
About Standing Deposit Facility (SDF)
About Marginal Standing Facility (MSF)
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Fourth International Financing for Development Conference (FfD4)
A United Nations-led global forum aimed at addressing gaps in sustainable development financing and reforming global economic governance.
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Facciolella Smithi
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Kariyachalli Island
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RECLAIM Framework
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Namdapha National Park and Tiger Reserve
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Forest Advisory Committee (FAC)
About FAC
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Savitribai Phule National Institute of Women and Child Development
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Gaden Phodrang Trust
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PARAKH (Performance Assessment, Review and Analysis of Knowledge for Holistic Development)
About PARAKH
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Operation MED MAX
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Nutritional Intake in India Report
Key Findings:
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