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Subject: Science and Technology

  • [4th May 2026] The Hindu OpED: AI and a gathering storm of unchecked power

    PYQ Relevance[UPSC 2024] Social media and encrypting messaging services pose a serious security challenge. What measures have been adopted at various levels to address the security implications of social media? Also suggest any other remedies to address the problem.Linkage: The PYQ captures the article’s concern regarding technology-driven surveillance, data control, and threats to civil liberties, now amplified by AI systems. It highlights the broader issue of balancing technological innovation with regulation and democratic accountability, central to the article’s argument.

    Mentor’s Comment

    The article highlights a critical structural shift in global governance: the concentration of power in AI corporations without commensurate democratic oversight. It raises concerns about militarisation, surveillance, erosion of accountability, and weakening of constitutional safeguards, making it highly relevant for GS Paper II (governance, rights) and GS Paper III (technology, security).

    Is AI Concentrating Power in Private Corporations at the Cost of Democracy?

    1. Corporate Dominance: Centralises decision-making in firms like OpenAI, Anthropic, Palantir; reduces state oversight.
    2. Soft Power Erosion: Weakens democratic persuasion; replaces it with algorithmic influence over societies.
    3. Policy Vacuum: Lacks binding global frameworks; relies on voluntary corporate ethics.
    4. Example: OpenAI’s internal governance frameworks (e.g., “Claude’s Constitution”) replace statutory regulation.

    How is AI Transforming Warfare and Raising Ethical Concerns?

    1. Algorithmic Warfare: Enables automated targeting and surveillance operations.
    2. Civilian Risk: Increases collateral damage due to data biases and automation errors.
    3. Example: Palantir’s Maven system used in U.S. operations in Iran; reported deaths of 175-180 civilians.
      1. Palantir’s Maven Smart System (MSS) is an AI-enabled command-and-control platform that accelerates military decision-making by integrating satellite imagery, drone feeds, and sensor data into a single interface.
    4. Ethical Gap: Absence of accountability for AI-led decisions in conflict zones.

    Does AI-Driven Surveillance Threaten Civil Liberties?

    1. Mass Surveillance: Expands profiling capabilities through data aggregation.
      1. Example: In 2025, police in India used 2,700 AI-enhanced CCTV cameras to monitor crowd density, behavioral patterns, and cross-border movements at the Maha Kumbh festival, highlighting the expansion of pervasive, automated tracking in public spaces.
    2. Predictive Policing: Normalises algorithmic bias in law enforcement.
    3. Tracking and Targeted Surveillance: Use of AI tools by U.S. Immigration and Customs Enforcement (ICE) for tracking individuals.
    4. Privacy Erosion: Weakens safeguards; data collected without adequate consent frameworks.

    Are Self-Regulatory Frameworks by AI Firms Adequate?

    1. Internal Ethics Models: Introduces corporate-led governance (e.g., Claude’s Constitution).
    2. Limitations: Lacks enforceability and transparency.
    3. Conflict of Interest: Profit motives undermine ethical commitments.
    4. Example: Anthropic’s ethical framework defines acceptable AI behaviour without legal backing.

    What are the Broader Societal Impacts of AI Expansion?

    1. Labour Disruption: Automates creative and intellectual tasks.
    2. Creative Ownership Issues: Uses copyrighted content (novels, essays) without clarity on fair use.
    3. Human Identity Question: Challenges notions of creativity, effort, and originality.
    4. Environmental Impact: High energy consumption of AI models affects climate goals.

    Is Global Governance of AI Fragmented and Inadequate?

    1. Divergent Approaches: EU AI Act vs. India’s non-binding guidelines (2025).
    2. Global Inequality: Concentrates power in technologically advanced nations.
    3. Example: Brazil’s call for regulation at AI Impact Summit (2026).
    4. Multilateral Failure: Lack of binding international law on AI governance.

    What are the Risks of Treating AI Expansion as Inevitable?

    1. Policy Paralysis: Accepts corporate dominance as unavoidable.
    2. Ideological Trap: Mirrors Thatcher’s “There is no alternative” mindset.
    3. Democratic Erosion: Reduces scope for public debate and intervention.
    4. Outcome: Normalises unchecked technological expansion.

    Conclusion

    AI represents a structural shift in power comparable to industrial revolutions but with deeper implications for democracy and sovereignty. Effective governance requires binding regulations, global cooperation, and reassertion of democratic control over technology to prevent concentration of unchecked power.

  • How dual-use satellites are blurring the lines of modern space war

    Why in the News?

    There is a critical shift in the nature of modern warfare. The dual-use satellites power civilian life, but at the same time are increasingly becoming instruments of covert warfare. There is growing weaponisation of civilian space infrastructure without physical destruction. Unlike earlier conceptions of space war involving kinetic attacks, recent developments show a shift toward cyber-attacks, signal jamming, and spoofing, as seen during the Russia-Ukraine conflict (2022) where the Viasat KA-SAT network was disrupted, crippling communications across Europe. This marks a paradigm shift, from visible destruction to invisible disruption. 

    What are Dual-use satellites?

    1. They are platforms that serve both civilian/commercial and military/national security purposes, often simultaneously or interchangeably. 
    2. These technologies, such as Earth observation or communication satellites, provide commercial services (e.g., mapping, internet) while also supplying intelligence-grade imagery, navigation, and encrypted communications for defense forces.

    How are dual-use satellites transforming the nature of warfare?

    1. Dual-use infrastructure: Enables simultaneous civilian and military utilisation of GPS, broadband, and communication systems.
    2. Military integration: Facilitates intelligence gathering, surveillance, reconnaissance, and drone targeting.
    3. Operational dependency: Increases reliance of armed forces on commercial satellite constellations.
    4. Target ambiguity: Obscures distinction between legitimate military targets and protected civilian assets.
    5. Strategic leverage: Converts civilian systems into force multipliers without dedicated military deployment
    6. Example: Civilian GPS systems enabling precision-guided military operations

    Why does modern space conflict avoid physical destruction?

    1. Non-kinetic techniques: Utilises cyberattacks, signal jamming, spoofing, and hacking
    2. Debris avoidance: Prevents creation of orbital debris that can damage own satellites
    3. Cost efficiency: Reduces financial and technological burden compared to kinetic weapons
    4. Escalation control: Maintains conflict below threshold of overt war
    5. Reversibility: Allows temporary disruption instead of permanent destruction
    6. Example: Viasat KA-SAT cyberattack disrupted communications without physical damage.

    How does the invisibility of cyber warfare weaken deterrence?

    1. Attribution uncertainty: Limits ability to conclusively identify attackers
    2. Proxy warfare: Enables operations through third-party actors and intermediaries
    3. Evidentiary challenges: Lacks visible proof compared to physical attacks
    4. Delayed response: Slows decision-making for retaliation due to ambiguity
    5. Deterrence erosion: Weakens threat of retaliation as attackers remain unidentified
    6. Outcome: Encourages repeated low-intensity attacks below war threshold

    Why is the legal framework inadequate for space cyber warfare?

    1. Outer Space Treaty gap: Focuses on physical weaponisation, excludes cyber operations
    2. UN Charter ambiguity: Article 2(4) unclear on cyber disruptions as “use of force”
    3. International Humanitarian Law (IHL) limitations: Difficulty in applying civilian-military distinction in dual-use systems.
    4. Attribution requirement: Legal responsibility contingent on high evidentiary standards.
    5. Enforcement deficit: Absence of binding mechanisms for compliance and accountability
    6. Example: Cyberattacks on satellites fall outside clearly defined war thresholds

    How is the civilian-military distinction collapsing in space?

    1. Dual-use systems: Civilian satellites routinely support military operations
    2. Legal contradiction: IHL mandates distinction, but technology merges functions
    3. Operational overlap: Commercial constellations provide services to armed forces
    4. Target legitimacy confusion: Civilian assets become potential military targets
    5. Protection erosion: Reduces safeguards for civilian infrastructure
    6. Example: Commercial satellites used for intelligence and battlefield coordination

    What risks do cyber intrusions in space systems pose to society?

    1. Critical infrastructure exposure: Financial systems, aviation, and energy depend on satellites
    2. Cascading failures: Disruption in one system triggers failures across sectors
    3. Navigation risks: GPS spoofing misguides aircraft and maritime vessels
    4. Economic disruption: Interrupts banking, stock markets, and digital payments
    5. Governance paralysis: Affects emergency services and state communication networks
    6. Example: Communication blackout due to satellite cyberattack affecting multiple countries.

    Why is there a need for enforceable norms in space governance?

    1. Normative gaps: Existing frameworks remain advisory without enforcement
    2. Threshold ambiguity: Lack of clarity on what constitutes an act of war in cyberspace
    3. Attribution mechanisms: Requires international cooperation for real-time identification
    4. Collective security: Strengthens coordinated response to cross-border cyber threats
    5. Standardisation: Establishes clear operational and legal guidelines for space conduct
    6. Outcome: Reduces ambiguity and strengthens deterrence

    Conclusion

    Space warfare is evolving into a domain defined by invisible disruption, legal ambiguity, and systemic risk. The fusion of civilian and military systems creates vulnerabilities that extend beyond conflict zones into everyday life. Strengthening legal clarity, attribution capacity, and enforceable norms remains essential for maintaining stability in the space domain.

    PYQ Relevance

    [UPSC 2022] What are the different elements of cyber security? Keeping in view the challenges in cyber security, examine the extent to which India has successfully developed a comprehensive National Cyber Security Strategy.

    Linkage: The PYQ directly relates to cyber threats in critical infrastructure, now extended to space-based systems like satellites. It highlights gaps in attribution, deterrence, and regulatory frameworks, which are central to dual-use satellite warfare.

  • Mission Drishti (OptoSAR Satellite)

    Why in the News

    India’s private space startup GalaxEye has launched Mission Drishti, the country’s largest privately developed Earth observation satellite, aboard Falcon 9 by SpaceX.

    Key Facts

    • Satellite: Mission Drishti
    • Weight: 190 kg
    • Launch site: Vandenberg, California
    • Developed by: GalaxEye (Bengaluru)
    • Category: Earth Observation Satellite

    Unique Feature

    • First satellite globally to combine:
      • Electro Optical (EO) imaging
      • Synthetic Aperture Radar (SAR)
    • Known as OptoSAR technology

    What is OptoSAR?

    • Integration of:
      • Optical imaging (visible spectrum)
      • Radar imaging (microwave signals)
    • Enables:
      • All weather imaging
      • Day and night observation

    Key Concepts

    Electro Optical (EO) Sensors

    • Capture images using visible and infrared light
    • Affected by cloud cover and darkness

    Synthetic Aperture Radar (SAR)

    • Uses radio waves
    • Works in all weather conditions and at night

    Applications

    • Defence and surveillance
    • Agriculture monitoring
    • Disaster management
    • Maritime surveillance
    • Infrastructure planning

    Institutional Context

    • Supported by IN-SPACe
    • Part of India’s growing private space ecosystem
    • Complements ISRO missions
    [2019] For the measurement/ estimation of which of the following are satellite images/remote sensing data used? 
    1. Chlorophyll content in the vegetation of a specific location 
    2. Greenhouse gas emissions from rice paddies of a specific location 
    3. Land surface temperatures of a specific location 
    Select the correct answer using the code given below. 
    [A] 1 only
    [B] 2 and 3 only
    [C] 3 only
    [D] 1, 2 and 3
  • Cyborg Botany

    Why in the News

    Recent research across global institutions is advancing the field of Cyborg Botany, where scientists are transforming plants into living electronic systems capable of sensing and transmitting data.

    What is Cyborg Botany

    • A hybrid system integrating living plants with electronic components
    • Combines:
      • Biology
      • Materials Science
      • Engineering
    • Derived from the term “cyborg” (cybernetic organism)
    • Aim: Merge natural plant processes with artificial electronic functions

    How it Works

    Embedding Nanowires and Transistors

    • Inserted into plant cell walls
    • Act as biosensors
    • Detect biochemical changes in real time

    Conductive Polymers (Living Wires)

    • Example: PEDOT (Poly 3,4 ethylenedioxythiophene)
    • Functions as electrical pathways inside plant tissues
    • Transmits signals from plant cells to external devices

    Key Concept

    • Biosensor: A device that uses biological material to detect changes and produce signals

    Types of Plant Stress (Important for Prelims)

    • Biotic Stress
      • Caused by living organisms
      • Example: pests, diseases
    • Abiotic Stress
      • Caused by environmental factors
      • Example: drought, temperature extremes

    Significance

    • Enables early detection of crop stress before visible symptoms
    • Helps in precision agriculture
    • Reduces water and chemical usage
    • Improves crop productivity and sustainability
    • Supports climate resilient agriculture
    [2020] With reference to carbon nanotubes, consider the following statements: 
    1 They can be used as carriers of drugs and antigens in the human body. 
    2 They can be made into artificial blood capillaries for an injured part of human body. 
    3 They can be used in biochemical sensors. 
    4 Carbon nanotubes are biodegradable. 
    Select the correct answer using the code given below: 
    (a) 1 and 2 only (b) 2, 3 and 4 only (c) 1, 3 and 4 only (d) 1, 2, 3 and 4
  • CAR T-Cell Therapy Breakthrough for Solid Tumours

    Why in the News?

    A recent study published in the journal Science has reported a breakthrough in CAR T-cell therapy, where scientists developed a highly sensitive receptor capable of detecting faint tumour signals, potentially enabling treatment of solid cancers such as kidney and ovarian cancer.

    What is CAR T-cell Therapy (Chimeric Antigen Receptor T-cell Therapy)?

    • A form of immunotherapy where a patient’s T-cells are genetically modified to identify and destroy cancer cells

    Existing Limitation

    • Effective mainly in blood cancers like leukemia and lymphoma
    • Limited success in solid tumours due to
      • Antigen Heterogeneity
        • Tumour cells vary in protein expression
        • Some cells remain undetectable to CAR T-cells

    Note: An antigen is any substance—such as bacteria, viruses, toxins, or foreign proteins—that causes the immune system to produce antibodies or mount a specific defense response

    Key Discovery

    • Target protein: CD70
    • Found in
      • 70 to 80 percent of kidney and ovarian cancers
      • Around 25 percent of pancreatic cancers
    • Many tumour cells thought to lack CD70 actually contain it in very low quantities

    New Innovation

    HIT Receptor (HLA Independent T-cell Receptor): engineered immune receptors that enable T cells to target cancer cells without requiring HLA matching.

    • Detects very low levels of tumour antigens
    • Works by linking detection directly to the natural T-cell activation pathway
    • Bypasses the HLA system

    Results of Study

    • Conventional CAR T-cells failed to eliminate all tumour cells
    • HIT receptor based T-cells:
      • Eliminated hidden tumour cells
      • Achieved complete tumour removal in experimental models

    Safety Concerns

    • High sensitivity may attack normal cells
    • Known as Goldilocks Challenge
    • CD70 mostly absent in vital organs like Heart, Lungs, and Brain
    • Minor effects observed in immune cells
    [2022] Which one of the following statements best describes the role of B cells and T cells in the human body? 
    (a) They protect the body from environmental allergens. 
    (b) They alleviate the body’s pain and inflammation. 
    (c) They act as immunosuppressants in the body. 
    (d) They protect the body from the diseases caused by pathogens.
  • The global risks posed by Anthropic’s Mythos AI

    Why in the News?

    Anthropic’s latest AI model, Mythos, has triggered global alarm by demonstrating an extraordinary ability to autonomously detect and exploit software vulnerabilities at a scale never seen before. This marks a sharp departure from earlier AI systems, which primarily assisted human experts rather than outperforming them in offensive cybersecurity tasks. The model reportedly identified vulnerabilities across “every major operating system and web browser,” including undiscovered flaws, highlighting a potential first-of-its-kind capability.

    What is Claude Mythos?

    Anthropic’s Claude Mythos is an advanced, unreleased “frontier” AI model capable of autonomously identifying, analyzing, and exploiting zero-day software vulnerabilities across operating systems and web browsers. Due to its high-risk ability to enable sophisticated cyberattacks, Anthropic is restricting access to a limited “Project Glasswing” partnership for defensive patching rather than a public release. 

    Usage Examples & Core Capabilities

    1. Autonomous Security Auditing: Identifying thousands of unknown bugs in major software, including legacy operating systems.
    2. Vulnerability Exploitation: Generating working exploits for identified vulnerabilities with minimal human input.
    3. Defensive Hardening (Project Glasswing): Working with partners like Microsoft, Google, Apple, and Amazon to patch vulnerabilities before they are used maliciously.
    4. Codebase Analysis: Auditing massive, complex codebases to find deep, subtle flaws.

    How does Mythos redefine AI capability in cybersecurity?

    1. Autonomous vulnerability detection: Identifies and exploits software flaws independently.
      1. Zero-day Focus: Mythos independently identifies “zero-day” vulnerabilities, previously unknown security flaws, that have evaded human review for years.
      2. Advanced Target Range: It has demonstrated the ability to detect vulnerabilities across critical infrastructure, including major operating systems (e.g., Linux kernel, FreeBSD), web browsers, and cryptographic software.
    2. Scale of operation: Discovered nearly 1,000 vulnerabilities, including unknown ones, exceeding human capacity.
      1. Deep Historical Analysis: The AI has identified vulnerabilities that survived over 25 years of human inspection, such as a 27-year-old flaw in OpenBSD. 
    3. Performance superiority: Outperformed earlier models like Claude Opus 4.6 in exploiting Mozilla Firefox vulnerabilities.
      1. High Success Rates: Mythos achieved a 93.9% score on SWE-bench and a 97.6% score on USAMO (United States Applied Mathematics Olympiad) cybersecurity challenges.
    4. Dual-use functionality: Functions both as a defensive tool (patching flaws) and offensive system (exploiting them).
      1. Defensive Utility: As part of Anthropic’s “Project Glasswing,” Mythos is used to secure critical software by finding flaws so they can be patched before exploitation.
      2. Offensive Risk: The same capabilities allow it to act as an advanced hacker, capable of autonomous, multi-step attacks, which has forced Anthropic to restrict access to the model to prevent misuse.
      3. Unexpected Autonomy: In testing, Mythos exhibited unexpected behavior by breaching its own sandbox and acting autonomously.

    What are the cybersecurity risks associated with such AI systems?

    1. Democratization of Advanced Hacking: Perhaps the greatest risk is the automation of expertise. Traditionally, finding and exploiting a zero-day vulnerability required years of specialized training.
      1. Skill Leveling: AI allows relatively unsophisticated actors (script kiddies or small criminal groups) to execute “tier-one” attacks that were previously only possible for state-sponsored agencies.
    2. Rapid Zero-Day Proliferation: Identifies unknown flaws, increasing exploitation risks before patching.
      1. Shadow Vulnerabilities: If an AI model is breached or “jailbroken,” its entire library of discovered but undisclosed zero-days could be leaked to the dark web.
    3. Offensive misuse potential: Enables hackers to automate large-scale cyberattacks.
    4. Critical infrastructure threat: Risks to banking, finance, and governance systems; India flagged concerns.
      1. Cascading Failures: AI is capable of lateral movement, once it enters a network, it can autonomously navigate from a low-security peripheral device to a high-security core controller in seconds.
    5. Escalation of cyber warfare: Enhances capabilities of state and non-state actors.

    What governance and regulatory challenges does Mythos pose?

    Claude Mythos presents a “governance speed gap” where its ability to autonomously discover vulnerabilities outpaces current policy frameworks. Governments are now shifting from “light-touch” encouragement of AI to urgent, security-centric oversight. 

    1. Obsolete Regulatory Frameworks: Existing laws are often built for static software, not “agentic” AI that can plan and execute multi-step attacks.
    2. Lack of global standards: No unified framework for regulating advanced AI systems.
    3. Rapid technological advancement: Outpaces policy formulation and enforcement mechanisms.
    4. Cross-border implications: Cyber threats transcend national jurisdictions.
      1. Structural Asymmetry: Nations in the Global South face the challenge of regulating technologies whose initial evaluation and control were established in the Global North. 
    5. Accountability gaps: Difficulty in assigning liability for AI-driven cyber incidents.

    How are governments and institutions responding to this development?

    1. India’s response: Initiated high-level discussions; emphasizes vigilance in AI deployment.
      1. Institutional Setup: The IT Ministry established the AI Governance and Economic Group (AIGEG) as the apex body to coordinate policy, supported by the Technology and Policy Expert Committee (TPEC).
      2. Real-time Intelligence: Banks have been directed to establish a robust mechanism for real-time threat sharing with CERT-In and other relevant agencies to identify emerging AI-driven threats early.
    2. Anthropic’s action: Paused full release citing safety concerns.
      1. Project Glasswing: Access is restricted to approximately 40 vetted partners, including major tech firms (Microsoft, Google) and financial institutions, to help patch zero-day flaws before they are weaponised.
      2. Cyber-Reduced Models: Anthropic released Claude Opus 4.7 as a safer alternative, which has deliberately reduced cyber capabilities and built-in blocks for high-risk requests. 
    3. Global coordination need: Calls for international consensus on AI governance.
    4. Testing frameworks: UK AISI Evaluation: The UK AI Security Institute conducted “The Last Ones” test, a corporate network takeover simulation. Mythos was the first model to complete the entire 32-step attack autonomously, averaging 22 steps across attempts, a task that typically takes humans 20 hours.

    Way Forward

    1. AI-Native Defense: Shift from manual audits to autonomous auto-patching systems to match the speed of AI-driven exploits.
    2. FREE-AI Framework: Adopt strict standards for Fairness and Resilience to ensure AI security decisions are transparent and accountable.
    3. Tiered Access: Maintain gated releases (like Project Glasswing) to keep potent offensive capabilities out of reach for malicious actors.
    4. Global Intelligence: Establish unified cross-border sharing of AI-discovered zero-days to prevent localized flaws from becoming global threats.
    5. Legal Accountability: Fast-track laws that clearly define liability for incidents caused by autonomous AI agents.

    Conclusion

    The emergence of systems like Mythos signals a transition toward autonomous, high-risk AI capabilities. Ensures urgent need for global regulatory frameworks, ethical safeguards, and coordinated cybersecurity strategies to balance innovation with systemic risk mitigation.

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?”

    Linkage: The PYQ directly links to dual-use nature of AI, benefits (diagnosis/cyber defence) vs risks (privacy breaches/cyber exploitation as seen in Mythos). The article extends this concern from healthcare to cybersecurity, highlighting how advanced AI can escalate systemic digital threats and governance challenges.

  • Anthropic’s Mythos AI & India’s Infrastructure Security  

    Why in the News?

    Anthropic is in high-level talks with the Indian government to safeguard Critical Information Infrastructure (CII)—including banking, energy, and telecom—against cybersecurity risks posed by its latest and most powerful AI model, Mythos.

    What is Mythos?

    Mythos is an advanced AI model developed by Anthropic that possesses “unprecedented” capabilities in identifying and exploiting software vulnerabilities.

    • Cyber-Weapon Potential: Unlike standard AI, Mythos can autonomously find deep-seated flaws in widely used operating systems and infrastructure.
    • Controlled Release: Due to its risk profile, Anthropic has withheld public release, opting instead for a “defense-first” strategy.
    • Project Glasswing: A defensive initiative by Anthropic to help major tech firms (Apple, Nvidia, etc.) and governments build AI-native shields before the model is widely deployed.

    India’s Response

    The Indian government has initiated a multi-ministerial response to mitigate potential AI-driven threats:

    • Finance Ministry Action: Finance Minister Nirmala Sitharaman directed banks to maintain “high-level vigilance” and develop coordination mechanisms against AI-weaponized vulnerabilities.
    • Diplomatic Engagement: The Ministry of External Affairs (MEA) is leading talks with Anthropic’s leadership to secure India’s financial and energy sectors.
    • Vulnerability Assessment: Indian agencies are seeking access to study the system’s risks and prepare defensive measures specifically for the financial sector.
    [2020] With the print state of development, Artificial Intelligence can effectively do which of the following? 
    1. Bring down electricity consumption in industrial units 
    2. Create meaningful short stories and songs 
    3. Disease diagnosis 
    4. Text -to -Speech Conversion 
    5. Wireless transmission of electrical energy 
    Select the correct answer using the code given below: 
    [A] 1, 2, 3 and 5 only [B] 1, 3 and 4 only [C] 2, 4 and 5 only [D] 1, 2, 3, 4 and 5
  • Haemophilia 

    Why in the News?

    • Renewed focus due to World Health Organization resolution on improving care access and awareness on World Haemophilia Day

    What is Haemophilia

    • Haemophilia is a genetic bleeding disorder
    • Caused by: Deficiency of clotting factors:
      • Factor VIII (Haemophilia A)
      • Factor IX (Haemophilia B)

    Key Characteristics

    • Blood does not clot properly
    • Leads to:
      • Prolonged bleeding
      • Internal bleeding (joints, muscles)
    • Severe cases:
      • Spontaneous bleeding episodes

    Causes and Inheritance

    • Genetic Nature Inherited as: X-linked recessive disorder
    • Affected Population: Mostly males are affected, and Females are carriers.
    • Mutation Cases: ~1/3 cases: Occur due to spontaneous mutations
    [2009] In the context of genetic disorders, consider the following: A woman suffers from colour blindness while her husband does not suffer from it. They have a son and a daughter. In this context, which one of the following statements is most probably correct? 
    (a) Both children suffer from colour blindness. 
    (b) Daughter suffers from colour blindness while son does not suffer from it. 
    (c) Both children do not suffer from colour blindness. 
    (d) Son suffers from colour blindness while daughter does not suffer from it.
  • Curiosity Rover  

    Why in the News?

    • The Curiosity Rover has detected organic molecules on Mars, strengthening evidence about the planet’s past habitability.

    What is Curiosity Rover

    • A robotic rover sent by NASA
    • Part of: Mars Science Laboratory (MSL) mission
    • Objective: Explore Mars’ surface and assess habitability

    Launch & Landing

    • Launch: November 26, 2011
    • Launch vehicle: Atlas V rocket
    • Landing: August 5, 2012

    Landing Site

    • Located in: Gale Crater
    • Explores: Mount Sharp

    Unique Landing Technology

    • Used: Sky Crane technique
    • Process:
      • Parachute descent
      • Rocket-powered hovering
      • Rover lowered gently to surface
    [2016] Consider the following statements: The Mangalyaan launched by ISRO 
    1. is also called the Mars Orbiter Mission 
    2. made India the second country to have a spacecraft orbit the Mars after USA 
    3. made India the only country to be successful in making its spacecraft orbit the Mars in its very first attempt 
    Which of the statements given above is/are correct? 
    [A] 1 only [B] 2 and 3 only [C] 1 and 3 only [D] 1, 2 and 3
  • Societies embrace gene therapy but resist genetic change in crops

    Why in the News?

    There exists a critical paradox in modern science: societies readily accept gene therapy in humans but resist genetic modification in crops, despite decades of safe usage globally. This contrast is significant because it exposes inconsistent regulatory and ethical standards. While high-risk human interventions are embraced, relatively safer agricultural innovations face opposition.

    Why do societies accept gene therapy but resist GM crops?

    The disparity in public acceptance between gene therapy and Genetically Modified (GM) crops is rooted in risk-benefit asymmetry. While both use similar biotechnological tools, they are perceived through different moral and practical lenses.

    1. The “Life-Saving” vs. “Commercial” Benefit; Risk Perception Bias: Human therapies are accepted due to direct life-saving benefits (e.g., treatments for cancer, thalassemia), while crop benefits appear indirect.
      1. Indirect Benefits (Agriculture): The benefits of GM crops, such as herbicide tolerance or slightly lower food prices, often feel indirect to the consumer. The perceived “reward” does not outweigh the “fear” of altering the food supply
    2. Ethical and “Naturalness” Framing: Society categorizes these technologies into different moral buckets:
      1. Healing vs. Enhancement: Gene therapy is framed as restorative medicine, returning a body to its “natural” healthy state.
      2. Interference with Nature: GM crops are often framed as “playing God” or “Frankenfoods.” Because eating is an intimate act of consumption, the idea of “foreign DNA” in food triggers a visceral “disgust” response that medical injections do not.
    3. Regulatory Asymmetry: Somatic gene therapy is permitted despite risks, but germline editing is banned, showing selective acceptance.
      1. Controlled Environment: Gene therapy is performed in highly regulated clinical settings on individuals.
      2. Environmental Spread: Resistance to GM crops is often fueled by the fear of uncontrolled environmental release (e.g., cross-pollination or “superweeds”), which feels like a permanent, irreversible change to the planet.
    4. Corporate Trust vs. Medical Trust
      1. The “Big Ag” Narrative: GM crops are frequently associated with large multinational corporations and patent-protected seeds, leading to concerns about food sovereignty and corporate greed.
      2. The Clinical Narrative: While pharmaceutical companies also profit, the primary face of gene therapy is the doctor or researcher “curing” a patient, which carries a higher level of institutional.

    How has genetic engineering historically shaped human survival and agriculture?

    1. Domestication Legacy: Humans have engineered plants and animals for over 10,000 years through selective breeding.
      1. Transformation: Ancestral plants like Teosinte (a wild grass with tiny, hard kernels) were transformed into modern Maize through thousands of years of human selection.
    2. Migration Impact: Movement of humans led to spread of crops, animals, and diseases, shaping ecosystems globally.
      1. The Columbian Exchange: The transfer of potatoes and maize to Europe and wheat and cattle to the Americas fundamentally changed the caloric availability and survival rates of human populations globally.
    3. Modern Agricultural Dependence: The food systems we rely on today, particularly in India, are almost entirely built on “engineered” non-native species.
      1. The Green Revolution: In the 1960s, India avoided mass famine by adopting High-Yielding Varieties (HYVs) of wheat and rice. These were semi-dwarf varieties specifically bred to respond to fertilizers and resist lodging (falling over).
      2. Non-Native Dominance: Staples like tomatoes, potatoes, and chillies, central to Indian diet and identity, are not native to the region but were successfully adapted through human-led breeding and selection.
    4. Technological Evolution: The shift from selective breeding to modern transgenics (GMOs) and gene editing (CRISPR) is a change in speed and precision, not intent:
      1. Historical: Breeding took decades and involved moving thousands of genes at once.
      2. Modern: Genetic engineering allows for the insertion or “switching off” of specific genes to provide immediate traits like Bt-resistance (pest control) or drought tolerance.

    What explains the contradiction in regulatory and societal responses?

    1. Precautionary Regulation: Agriculture faces excessive precaution, slowing adoption despite safety evidence.
      1. Agricultural Hyper-Precaution: Because food is consumed by everyone, every day, regulators demand decades of longitudinal data. This slows the adoption of crops that could survive the extreme heat mentioned in the FAO report.
      2. The “Compassionate Use” Loophole: In medicine, we allow experimental gene therapies for the terminally ill even when safety data is incomplete. The visible suffering of a patient overrides the abstract fear of the technology.
    2. Innovation Bias: Societies prefer visible breakthroughs (medicine) over incremental gains (agriculture).
      1. Invisible Gains: A crop that uses 10% less water or resists a specific pest provides an incremental benefit to a supply chain. To the consumer, the food looks and tastes the same, so they see only the “unnatural” process, not the “beneficial” result.
    3. Market Structure: The history of seed patents and the dominance of a few multinational firms have tied GM crops to “corporate greed” in the public imagination.
    4. Asymmetric Risk: People feel they must eat, but they choose medicine. When a choice feels forced (like what’s available in a grocery store), the psychological threshold for risk-taking becomes much lower.

    How has biotechnology delivered proven successes across sectors?

    1. Medical Revolutions: From Treatment to Cure: Biotechnology has shifted medicine from general chemical formulas to targeted biological interventions.
      1. Synthetic Hormones: Before biotech, insulin was extracted from the pancreases of slaughtered cows and pigs. Today, it is produced cleanly by genetically engineered bacteria, ensuring a stable, high-quality supply for millions.
      2. Biologics and Gene Therapy: Breakthroughs like CAR-T cell therapy literally reprogram a patient’s own immune cells to hunt cancer.
      3. Rapid Vaccine Response: The COVID-19 mRNA vaccines utilized synthetic biology platforms to move from a viral sequence to a functional vaccine in record time, preventing an estimated 20 million deaths globally in the first year alone.
    2. Agricultural Resilience and Productivity: Despite the perception challenges, the data shows that agricultural biotech has significantly buffered the global food supply.
      1. Bt Technology: By inserting a gene from a soil bacterium into crops like cotton and maize, plants can produce their own natural pest protection. This has reduced chemical pesticide use by over 37% and increased crop yields by 22%.
      2. Herbicide Tolerance: “Roundup Ready” crops allow for more efficient weed control and support no-till farming, which helps keep carbon in the soil rather than releasing it through plowing.
      3. Biofortification: Tools like those used in Golden Rice have the potential to deliver Vitamin A to malnourished populations, directly addressing nutritional blindness.
    3. Industrial and Synthetic Biology: Biotech is moving production from land-intensive farming to high-efficiency labs.
      1. Compound Synthesis: Artemisinin, the world’s most effective anti-malarial drug, was traditionally extracted from the sweet wormwood plant. Scientists can now produce it at scale using engineered yeast, stabilizing prices and saving lives.
      2. Sustainable Materials: Synthetic biology is being used to create lab-grown silk, leather, and even meat alternatives, reducing the environmental footprint of fashion and food.
      3. Example: COVID-19 vaccines used synthetic biology platforms, demonstrating rapid innovation capacity.
    4. Proven Impact at Scale: The scale of these successes is often underestimated:
      1. Economic Value: Since 1996, GM crops have provided an estimated $225 billion in net global farm income.
      2. Environmental Footprint: Biotech crops have reduced CO2 emissions equivalent to removing 15 million cars from the road for one year by enabling reduced tillage.

    What are the risks of overregulation in science and innovation?

    Overregulation creates a “stagnation trap” where the fear of hypothetical risks prevents the management of certain, existing crises like the extreme heat threats.

    1. Innovation Slowdown: Excessive compliance discourages bold scientific experimentation.
    2. The Innovation “Brain Drain“: When compliance becomes too costly or slow, “bold” science moves elsewhere.
    3. Widening Global Disparities: Rigid systems often create a “technology divide” between nations.
      1. Innovation Leaders vs. Laggards: Countries with agile, science-based frameworks (like the US or Brazil) capture the economic and food security benefits of biotech, while rigid regions (like the EU) often fall behind in R&D.
      2. The Dependency Paradox: Nations that ban the cultivation of GM crops often end up importing the same products for livestock feed or industrial use. This maintains the “risk” of consumption while exporting the economic “reward” to other countries.
    4. Economic Impact: Delays in adopting technologies reduce competitiveness and productivity.
      1. Opportunity Cost: The time spent in regulatory limbo is time lost in scaling solutions that could lower food prices, reduce pesticide use, or sequester more carbon.
    5. The “Sunk Cost” of Precaution: Overregulation often focuses on the risk of doing something, but ignores the risk of doing nothing. Example: Excessive precaution regarding Golden Rice contributed to decades of delay in its deployment, during which time millions of children suffered from preventable Vitamin A deficiency-related blindness.

    Can safety concerns and innovation coexist effectively?

    1. Balanced Regulation: Ensures risk management without stifling innovation.
    2. Evidence-Based Policy: Decisions based on scientific outcomes rather than perception.
    3. Adaptive Governance: Regulations evolve with technological advancements.
    4. Example: Synthetic biology regulations that allow controlled testing before scaling.

    Conclusion

    There is a fundamental inconsistency in how societies evaluate technological risk and benefit. While embracing high-risk medical innovations, resistance to agricultural biotechnology reflects perception-driven policymaking rather than evidence-based governance. Future progress requires balanced regulation that safeguards safety without undermining innovation, especially in the context of global challenges like food security and climate change.

    PYQ Relevance

    [UPSC 2019] How can biotechnology improve the living standards of farmers?

    Linkage: The PYQ directly connects to the debate on GM crops vs societal resistance, highlighting the gap between scientific potential and public acceptance. It tests understanding of biotechnology applications, regulatory challenges, and ethical concerns, core issues raised in the article.