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Current Affairs 19 May 2025

  1. Copyright’s Tryst with Generative AI
  2. What is a Presidential Reference?
  3. From Pyramids to Hourglasses: How AI Can Change Indian Workplaces
  4. ISRO: Satellite Launch Went Awry Minutes After Lift-Off Due to Glitch
  5. SC Directs States and UTs to Reclaim Reserve Forests Allotted to Private Parties
  6. Our Bodies Perform a Kind of mRNA Editing, and We Don’t Know Why
  7. PSLV: Centre of Attention


Historical Context of Copyright Law

  • Copyright law originated in 1710 due to the invention of the printing press.
  • Its aim: protect publishers’ rights, encourage learning, and secure economic interests.
  • Over time, it has adapted to photocopying, recording devices, and the Internet.
  • Each technological shift brings debates on how copyright should respond.

Relevance : GS 2(Governance) ,GS 3(Invention ,Technology)

Generative AI: A New Challenge

  • Current concern: generative AI trains on copyrighted material without permission.
  • This shifts focus from copying works” to training on works.”
  • Earlier legal concerns involved reproducing copies; now it involves usage in training datasets.

Global Legal Crossroads

  • Generative AI companies (like OpenAI) use internet scraping to collect both copyrighted and non-copyrighted content.
  • Lawsuits have emerged globally:
    • India: Federation of Indian Publishers & ANI sued OpenAI in Delhi HC.
    • USA: Claims countered with “fair use in education” exceptions.
  • OpenAI introduced an opt-out mechanism, but it only applies to future training, not past.

Indias Unique Legal Landscape

  • India follows an enumerated exceptions model under its Copyright Act.
  • Unlike the U.S. fair use” doctrine, India lists specific exceptions—limited scope.
  • Educational use is confined to classroom settings—favouring right-holders in disputes.
  • Indian courts may face jurisdictional challenges, but the core issue remains unresolved.

Key Judicial Considerations

  • Amicus curiae (Dr. Arul George Scaria) suggestions:
    • Assess feasibility of unlearning content already used in training.
    • Balance AI development with access to legitimate information.
    • Address false attribution issues in AI responses.

Concerns about Access and Equity

  • Over-restriction may hurt access to books and knowledge—undermining copyright’s original intent.
  • Newer, smaller AI players could suffer due to lack of access to high-quality training data.
  • Courts must ensure a level playing field between dominant and emerging AI platforms.

Foundational Copyright Principles as a Guide

  • Copyright protects expression of ideas, not the idea/information itself.
  • If AI uses information (not expression), it’s not necessarily infringement.
  • Law should distinguish between:
    • Learning from content (permissible)
    • Copying protected expressions (infringement)

Philosophical and Practical Implications

  • All creativity—human or AI—is based on learning from the past.
  • Creating a legal divide between human and machine learning may be counterproductive.
  • Law must evolve but not at the cost of stifling creativity and future innovation.


Constitutional Basis and Origin

  • Article 143 empowers the President of India to refer questions of law or fact of public importance to the Supreme Court for its opinion.
  • This is a non-binding, advisory opinion by the court.
  • Originates from Section 213 of the Government of India Act, 1935.

Relevance : GS 2(Polity and Governance)

Comparative Perspective

  • Canada: Has a similar provision; Supreme Court provides opinions on reference questions.
  • USA: No advisory jurisdiction; advisory opinions are considered a violation of the separation of powers.

Key Features of Article 143

  • The President acts on advice of the Council of Ministers while referring matters.
  • Supreme Court may (not must) answer the reference.
  • Requires a bench of at least five judges (as per Article 145).
  • The opinion has persuasive value, not binding on the President or future courts.

Important Precedents (Historical References)

  • Delhi Laws Act case (1951): Validated delegated legislation.
  • Kerala Education Bill (1958): Harmonized Fundamental Rights and Directive Principles.
  • Berubari Case (1960): Territorial cession needs constitutional amendment.
  • Keshav Singh Case (1965): Legislative privileges defined.
  • Presidential Poll Case (1974): Elections can proceed despite vacancies.
  • Special Courts Bill (1978): Court can decline vague references.
  • Third Judges Case (1998): Defined the collegium system for judicial appointments.

Courts Discretion

  • The Supreme Court is not bound to answer every Presidential reference.
  • Has declined only once — in Ram Janmabhoomi case (1993).

Current Presidential Reference (2024-25)

  • Stems from a recent SC ruling that:
    • Imposed timelines on Governors and the President for acting on Bills.
    • Made their actions subject to judicial review.
  • President Droupadi Murmu has raised 14 questions concerning:
    • Interpretation of Articles 200 & 201.
    • Judicial review of executive actions before enactment.
    • The scope of Article 142 (extraordinary powers of the SC).
  • Issue arises due to Centre-State tensions, especially with Opposition-ruled States.

Core Issues Raised

  • Can the Supreme Court prescribe timelines not explicitly mentioned in the Constitution?
  • Are Governor/President’s decisions justiciable before a Bill becomes law?
  • What is the extent of Article 142 powers?

Broader Implications

  • Touches upon separation of powers and federalism.
  • May define boundaries of judicial activism in legislative processes.
  • An authoritative opinion can ensure smooth Centre-State legislative functioning.

Conclusion

  • Presidential references serve as a constitutional dialogue between the executive and judiciary.
  • The current reference may set important precedents on executive discretion, legislative processes, and judicial boundaries.


Shift from Pyramid to Hourglass Model

  • Traditional pyramid structure: Top-heavy with bosses, middle managers, and a broad base of workers.
  • Hourglass structure: AI flattens the middle tier by automating coordination and decision-making tasks.
  • Leaders focus on strategy, while the base comprises frontline workers and AI systems working collaboratively.

Relevance : GS 2(Governance) ,GS 3(Technology)

AIs Economic Promise

  • McKinsey projects AI could add trillions to the global economy.
  • Potential to increase productivity by up to 25% for firms embracing AI.
  • SMEs in India could significantly benefit due to the potential for efficiency and flexibility gains.

Global Trends and Indias Context

  • Western firms are already adopting hourglass models (e.g., 20% of firms may reduce middle managers by 2026).
  • India’s scenario is unique:
    • Ranks 72nd in IMF’s AI Preparedness Index.
    • Urban-rural divide limits infrastructure and connectivity.
    • Cultural hierarchy and respect for authority slow organizational flattening.

Indias Hybrid Approach

  • Indian firms are adapting selectively:
    • Flipkart, Jio use AI for supply chain and customer behavior prediction but retain human layers for local adaptability.
  • Hybrid model: AI + human oversight accommodates India’s multilingual, diverse market needs and low labor costs.

Advantages of AI in Indian Workplaces

  • Efficiency: AI-driven demand forecasting and supply chain optimization.
  • Innovation: Generative AI improves task performance by 66% (NNG Group).
  • Flexibility: AI helped pharma firms during pandemic disruptions.
  • Customer/employee experience: 24/7 chatbots, automated payroll systems.
  • New job roles: Rise in demand for AI experts, data ethicists — projected 1.25 million jobs by 2027 (Deloitte & Nasscom).

Key Challenges

  • Job Displacement:
    • Risk to middle managers and less-skilled workers.
    • Up to 800 million jobs may shift globally by 2030.
    • Indian non-graduates and older workers most vulnerable.
  • Reskilling Needs:
    • While 94% of Indian firms plan to reskill (LinkedIn), execution remains challenging.
  • Ethical Concerns:
    • Biased datasets can affect fairness in decisions (loans, hiring).
    • Data privacy: 79% of Indians dislike data being sold (ISACA).
    • Digital Personal Data Protection Act (2023) still in early implementation.
  • Infrastructure Gaps:
    • 65% of India lives in rural areas, many without internet access.
    • High costs of AI tools and platforms make it hard for smaller firms.
  • Cultural Barriers:
    • Preference for hierarchical structures in family-owned businesses and traditional companies.

Recommendations

  • Reskilling: Expand digital literacy and problem-solving training (e.g., through Skill India).
  • Ethical Frameworks: Adopt clear AI ethics guidelines (OECD model), address bias and build public trust.
  • Hybrid Strategy: Combine AI’s efficiency with human adaptability for decision-making.
  • Collaborations: Partner with Western firms to develop customised AI for Indian needs.
  • Long-term Monitoring: Treat AI as an ongoing transformation, not a quick fix — adapt to cyber threats and regulation changes.


Mission objective:

  • PSLV-C61 aimed to deploy Earth observation satellite EOS-09 into a sun synchronous polar orbit, 17 minutes post-lift-off.
  • EOS-09 intended to support remote sensing applications with enhanced observation frequency, built on RISAT-1 heritage platform.

Relevance : GS 3(Space ,Science and Technology)

Failure details:

  • The rocket lift-off was successful at 5:59 a.m. from Satish Dhawan Space Centre, Sriharikota.
  • A technical glitch occurred during the third stage — a solid rocket motor — resulting in a drop in chamber pressure inside the motor casing.
  • This pressure drop led to mission failure: the satellite was not placed into the intended orbit.

Stages performance:

  • First and second stages performed normally.
  • Third stage started perfectly but encountered anomalies mid-operation causing the mission to abort.

Context and history:

  • PSLV-C61 was the 63rd flight of the Polar Satellite Launch Vehicle and the 27th in the PSLV-XL variant.
  • Since 2017, PSLV had an excellent success record after only two prior failures (1993’s first mission and 2017’s 41st flight).
  • The recent failure follows a January 2025 incident where ISRO failed to raise orbit of NVS-02 satellite due to valve malfunction, highlighting ongoing technical challenges.

Technical challenges and response:

  • The third-stage solid motor had a history of development difficulties and multiple failures, as highlighted by former ISRO Chairman S. Somanath.
  • Despite unusual reappearance of issues, confidence remains high that the root cause will be identified and fixed promptly.

Implications:

  • The failure underscores the technical complexity and risk inherent in space missions, especially in critical propulsion stages.
  • It may cause delays in satellite data availability for operational uses like remote sensing.
  • ISRO’s resilience and iterative problem-solving will be key to sustaining its launch success momentum.

Next steps:

  • ISRO will conduct detailed analysis of the third-stage anomaly before resuming similar missions.
  • Continued improvements in motor design and quality control are critical.
  • Monitoring and learning from such failures contribute to overall strengthening of Indias space capabilities.


  • Supreme Court directive:
    • Chief Secretaries of States and Administrators of Union Territories (UTs) must form Special Investigation Teams (SITs).
    • SITs to examine forest lands held by Revenue Departments that have been allotted to private parties for non-forest (non-afforestation) uses.

Relevance : GS 3(Environmental Governance)

  • Action required:
    • Identify and reclaim reserve forest lands wrongly allotted to private individuals/entities.
    • Repossess such lands and hand them over to the respective forest departments.
  • Exceptions & compensations:
    • If repossession is not in larger public interest, States/UTs must recover the cost of the land from private holders.
    • Recovered funds must be used solely for forest development and afforestation.
  • Timeframe:
    • The entire exercise must be completed within one year from the judgment date.
  • Land use:
    • Going forward, such forest lands must only be used for afforestation and forest-related activities.
    • Conversion to agricultural or commercial purposes is prohibited.
  • Case reference:
    • Judgment arose from the illegal allotment of 11.89 hectares of reserve forest land at Kondhwa Budruk, Pune (allotted in 1998 for agriculture and sold to a builder in 1999).
    • Environmental Clearance given to the builder in 2007 was quashed as illegal.
  • Court observations:
    • Highlighted the nexus between politicians, bureaucrats, and builders driving illegal forest land conversion.
    • Called this a “classic example” of misuse and commercialisation of precious forest resources.
  • Legal implications:
    • Sets a precedent reinforcing strict protection of reserve forests.
    • Empowers forest departments and strengthens forest conservation enforcement.
  • Broader significance:
    • Aims to curb illegal deforestation and safeguard ecological balance.
    • Ensures accountability of government officials and private parties in forest land misuse.
    • Promotes sustainable development through forest restoration efforts.
  • Next steps for States/UTs:
    • Immediate formation of SITs and thorough audits of forest land allotments.
    • Proactive repossession or cost recovery and forest department handover.
    • Implementation monitoring by judiciary or relevant authorities to ensure compliance within the one-year deadline.


Basic concept:

  • DNA is like a recipe book coding for proteins made from amino acids.
  • Genes (recipes) are transcribed into mRNA, which ribosomes “read” to build proteins.
  • mRNA letters (A, U, G, C) correspond to amino acids; A” stands for adenosine.

Relevance : GS 3(Science and Technology)

What is A-to-I mRNA editing?

  • ADAR enzymes convert adenosine (A) in mRNA to inosine (I).
  • Ribosomes read inosine as guanine (G), causing changes in the protein sequence.
  • This editing can alter protein function by changing amino acids.

Why is it puzzling?

  • DNA could directly encode G instead of A, but it doesn’t—mRNA editing adds complexity.
  • For example, editing can convert stop codons (UAG, UGA) into a codon for tryptophan (UGG), allowing proteins to be longer.
  • The purpose of this complicated mechanism is unclear.

Recent study insights from Fusarium graminearum (a fungus):

  • No A-to-I editing during vegetative (growth) stage on infected plants.
  • Massive A-to-I editing (over 26,000 sites) during sexual reproduction stage.
  • Focused on 71 genes with premature stop codons (PSC genes) “rescued” by editing.
  • Deleting PSC genes affected fungus only during sexual stage, proving editing’s developmental role.

Functional implications:

  • Unedited versions of some PSC genes help resist environmental stress during vegetative growth, so direct DNA mutation (A→G) would be disadvantageous early on.
  • Suggests evolutionary advantage in delaying editing until necessary for development.

Evolutionary perspective:

  • A-to-I editing may be a transitional evolutionary mechanism.
  • Over time, more genes might depend on editing, making ADAR essential for gene expression.
  • This could eventually lead to accumulation of G-to-A mutations in DNA “masked” by editing.

Scientific challenge:

  • Understanding the net evolutionary benefit of A-to-I editing is more complex than discovering its function.
  • The mechanism adds a regulatory layer that seems unnecessarily complicated.

Broader significance:

  • mRNA editing adds flexibility to gene expression without permanent DNA changes.
  • Can help organisms adapt protein function dynamically to developmental or environmental cues.
  • Raises fundamental questions about genetic information processing and evolution.


What is PSLV?

  • PSLV = Polar Satellite Launch Vehicle, designed to launch satellites into sun-synchronous polar orbits (SSPO).
  • It is a four-stage rocket with sequentially firing engines, shedding stages to reduce weight during ascent.

Relevance : GS 3(Science and Technology)

Technical specifications:

  • First stage: Uses HTPB (hydroxyl-terminated polybutadiene) fuel, peak thrust ~4.8 MN; XL version adds 6 strap-on boosters for extra thrust.
  • Second stage: Powered by Vikas engine using unsymmetrical dimethylhydrazine (fuel) and nitrogen tetroxide (oxidiser), thrust ~0.8 MN.
  • Third stage: Uses HTPB fuel again.
  • Fourth stage: Uses monomethylhydrazine and mixed oxides of nitrogen with two engines.

PSLV-C61 mission specifics:

  • Launched May 18, 2023, at 5:59 am carrying EOS-09 satellite intended for SSPO.
  • Mission ended in failure due to a problem in the third stage.

Cause of failure:

  • ISRO chairman V. Narayanan revealed that chamber pressure in the third-stage motor casing dropped during flight.
  • Loss of pressure led to mission failure.

Next steps:

  • ISRO is investigating the exact cause of pressure loss.
  • Plans to reattempt the launch with a replacement EOS-09 satellite.

Significance of PSLV:

  • Workhorse rocket for ISRO, reliable for multiple types of missions (earth observation, navigation, interplanetary).
  • XL configuration adds thrust capacity via boosters to carry heavier payloads.
  • Despite rare failures, PSLV remains crucial to Indias space ambitions.

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