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GS Paper: GS3-17.Awareness in the fields of IT, Space, Computers, Robotics, Nano-technology, Bio-technology and issues relating to Intellectual Property Rights.

  • Is Artificial Intelligence affecting critical thinking skills?

    Why in the News?

    Artificial Intelligence (AI) tools are being used more and more in classrooms worldwide.In India, a study by TeamLease EdTech last year found that over 61% of educators are using AI tools.

    What are the key findings as per the TeamLease EdTech?

    A study by TeamLease EdTech titled “Revolutionising Classrooms: The Impact of Generative AI on the Future of Education” surveyed over 6,000 educators across India, including school teachers and university professors. 

    • Widespread Adoption of AI Tools: Approximately 61.60% of educators are utilizing AI tools for teaching, preparation, and student engagement.
    • Recognition of AI’s Transformative Potential: Around 64.87% of educators acknowledge that AI has the potential to transform learning experiences and personalize education.
    • Preparation for an AI-Dominated Future: About 63.61% of educators believe that integrating AI is crucial for preparing students for a future where AI is prevalent.
    • Advocacy for AI Regulation: A significant 87.85% of educators support government regulation and monitoring of AI development and application to address ethical implications.
    • Need for Teacher Training in AI: Approximately 54.92% of educators express the need for AI training to ensure teachers are prepared for AI integration in education.

    What are the key concerns regarding the use of AI in education?

    • Over-Reliance on AI and Reduced Critical Thinking: Students may become dependent on AI-generated responses, leading to a decline in their ability to critically analyze information. Example: If students use AI tools like ChatGPT for essay writing without verification, they may accept biased or inaccurate information without questioning it.
    • Ethical and Privacy Issues: AI tools collect and store user data, raising questions about the privacy and security of sensitive academic information. Example: Using AI-powered platforms without adequate security may expose student data to third parties, violating privacy regulations like GDPR.
    • Unequal Access and Digital Divide: Not all students and institutions have equal access to advanced AI tools, widening the educational inequality gap. Example: Rural schools with limited technological infrastructure may struggle to implement AI-based learning.

    Why is it important for educational institutions to develop their own AI usage policies?

    • Ensuring Ethical and Responsible AI Use: Clear policies guide the ethical use of AI, preventing misuse, plagiarism, and data breaches. Example: A university policy on AI-assisted research can outline acceptable use, ensuring students disclose AI-generated content in academic work.
    • Protecting Student Privacy and Data Security: Policies help safeguard sensitive student information and comply with legal standards like GDPR or India’s DPDP Act. Example: Schools can restrict AI tools from accessing personal data by enforcing guidelines on how and when these technologies are used.
    • Maintaining Academic Integrity and Fair Assessment: AI policies uphold the integrity of learning by defining appropriate AI use in assignments and assessments. Example: A school policy may allow AI for research assistance but prohibit its use in writing final exam essays to ensure fair evaluation.

    When should AI tools be integrated into the curriculum? 

    • When Enhancing Personalized Learning: AI tools should be introduced when they can tailor educational content to individual student needs, improving learning outcomes. Example: Adaptive learning platforms like Khan Academy or Duolingo can adjust the difficulty of lessons based on a student’s progress, offering personalized learning paths.
    • When Supporting Skill Development for the Future: AI should be integrated when it helps students develop critical skills like data analysis, problem-solving, and digital literacy, which are essential for future careers. Example: Teaching AI programming using platforms like TensorFlow or Scratch can prepare students for careers in technology and data science.
    • When Facilitating Innovative Teaching Methods: AI tools should be included when they enhance creative and interactive teaching approaches that traditional methods cannot achieve. Example: Virtual labs using AI simulations in subjects like biology or physics allow students to conduct experiments safely and repeatedly, improving comprehension.

    How can educators balance the use of AI while fostering critical thinking and analytical skills in students?

    • Aligning AI Tools with Specific Learning Outcomes: AI should be used when it directly supports and enhances the achievement of clearly defined educational goals. Example: If the objective is to improve analytical reasoning, AI-powered data visualization tools like Tableau can help students interpret complex datasets and draw meaningful insights.
    • Enhancing Critical Thinking and Problem-Solving Skills: AI should be integrated when it fosters deeper learning by encouraging inquiry, creativity, and solution-oriented thinking. Example: AI-driven coding platforms like Scratch or Python Tutor can promote computational thinking and logical reasoning through hands-on programming tasks.
    • Supporting Assessment and Feedback Mechanisms: AI should be used to provide timely, personalized feedback that aligns with the learning objectives and helps track student progress. Example: Automated grading systems like Grammarly or Turnitin can assist in assessing writing skills and offer constructive feedback to improve academic writing.

    Way forward: 

    • Develop Comprehensive AI Literacy Programs: Equip educators and students with the skills to critically evaluate AI outputs, ensuring responsible and informed use.
    • Establish Clear, Adaptive AI Governance Frameworks: Implement dynamic policies that balance innovation with ethical standards, ensuring equitable access and academic integrity.

    Mains PYQ:

    Q Critically examine the Supreme Court’s judgement on ‘National Judicial Appointments Commission Act, 2014’ with reference to the appointment of judges of higher judiciary in India.(UPSC IAS/2017)

  • Successful PHTA Test of ISRO’s Semi-Cryogenic Engine

    Why in the News?

    ISRO successfully conducted a hot test on the semi-cryogenic engine (SE2000), a key step towards finalizing the cryogenic stage for future launch vehicles. This Power Head Test Article (PHTA) is the first hardware test for semi-cryogenic engines.

    About the SE2000 Engine

    • The SE2000 engine is a semi-cryogenic rocket engine developed by ISRO to enhance propulsion for future heavy-lift launch vehicles.
    • It is designed to power the booster stages of rockets, increasing payload capacity and efficiency.
    • The engine operates on a Liquid Oxygen (LOX) and Refined Kerosene (RP-1) combination, unlike traditional cryogenic engines that use LOX and Liquid Hydrogen (LH2).
    • Key features of the SE2000 engine:
      • Thrust capability: 2000 kN (kilonewtons), making it one of ISRO’s most powerful engines.
      • Higher density impulse: Provides better efficiency than LOX-LH2 combinations.
      • Cost-effective: Kerosene is cheaper and easier to handle than liquid hydrogen.
      • Storage advantages: Kerosene can be stored at ambient temperatures, unlike liquid hydrogen, which requires -253°C for storage.
    • The engine is expected to enhance the performance of LVM3 and will be used in ISRO’s Next Generation Launch Vehicle (NGLV).
    • Applications of the SE2000 engine:
      • Heavy-lift launch missions with increased payload capacity.
      • Future space exploration programs, including human spaceflight missions like Gaganyaan.
      • Reusable launch vehicles, contributing to cost-effective and sustainable space travel.

    What is the PHTA Test?

    • The PHTA test is a crucial hardware test conducted as part of the SE2000 semi-cryogenic engine development process.
    • It is designed to validate key engine subsystems before full-scale integration and testing.
    • Purpose of the PHTA test:
      • Ensure subsystems perform as expected under operational conditions.
      • Evaluate pressure, temperature, thrust efficiency, and fuel combustion.
      • Identify potential technical issues before moving to full engine testing.
    • A previous attempt in July 2023 was aborted due to technical issues at ISRO’s Mahendragiri facility.

    Back2Basics: Semi-Cryogenic vs. Cryogenic Engines

    • A semi-cryogenic engine uses liquid oxygen (LOX) and kerosene as propellants, making it easier to handle and store than the cryogenic engine, which uses liquid hydrogen (LH2).
    • Semi-cryogenic engines are less efficient but more cost-effective and practical for Earth-orbit missions.
    • Cryogenic engines offer higher performance due to the higher specific impulse of liquid hydrogen but are more complex to store and manage.
    • Semi-cryogenic engines strike a balance between cost, efficiency, and simplicity.

     

    PYQ:

    [2018] With reference to India’s satellite launch vehicles, consider the following statements:

    1. PSLVs launch the satellites useful for Earth resources monitoring whereas GSLVs are designed mainly to launch communication satellites.

    2. Satellites launched by PSLV appear to remain permanently fixed in the same position in the sky, as viewed from a particular location on Earth.

    3. GSLV Mk III is a four-stage launch l vehicle with the first and third stages l using solid rocket motors; and the second and fourth stages using liquid rocket engines.

    Which of the statements given above is/are correct?

    (a) 1 only

    (b) 2 and 3

    (c) 1 and 2

    (d) 3 only

     

  • UN Committee on Peaceful Uses of Outer Space (COPUOS)

    Why in the News?

    In December 2024, a 500 kg metal object crashed in Makueni County, Kenya, highlighting the growing concern over uncontrolled satellite re-entries, for which the UN Committee on the Peaceful Uses of Outer Space (COPUOS) remains accountable.

    It has yet to implement binding regulations on space debris disposal and re-entry control.

    About the UN Committee on the Peaceful Uses of Outer Space (COPUOS)

    • The COPUOS was established in 1958 to promote international cooperation in the peaceful use of outer space and address legal issues related to space exploration.
    • The committee currently has 102 member states (as of 2022) and meets annually in Vienna, Austria.
    • COPUOS plays a key role in preventing the militarization of space and ensuring responsible space activity.
    • Historical Context:
      • Established following the launch of Sputnik in 1957, COPUOS was instrumental in preventing space from becoming a new conflict zone.
      • Resolution 1721 (1961) declared that international law applies in outer space and directed states to report all space launches to the UN public registry.
    • Subcommittees:
      • Scientific and Technical Subcommittee (meets in February).
      • Legal Subcommittee (meets in April).

    Space Treaties overseen by COPUOS:

    • COPUOS oversees five key UN treaties and agreements related to space activities:
    1. Outer Space Treaty (1967):  Establishes principles for space exploration and prohibits national sovereignty over celestial bodies.
    2. Rescue Agreement (1968): Governs the rescue and return of astronauts and space objects.
    3. Liability Convention (1972): Defines responsibility for damage caused by space objects, introducing absolute liability for damages on Earth.
    4. Registration Convention (1976): Requires states to register launched space objects with the UN.
    5. Moon Treaty (1984): Regulates activities on the Moon and other celestial bodies.

    Defining Space Debris in Law

    • Space debris has no universally accepted legal definition in international treaties.
    • The UN Committee on the Peaceful Uses of Outer Space (COPUOS) defines it as non-functional man-made objects in Earth orbit or re-entering the atmosphere.
    • Legal disputes arise over whether a piece of debris qualifies as a “space object” under the 1972 Liability Convention.

    Liability Under International Space Law

    • Outer Space Treaty (1967), Article VI: States bear responsibility for national space activities, including those by private companies.
    • Liability Convention (1972): Introduced “absolute liability”, meaning launching states are automatically responsible for damage caused by space objects.
      • However, liability enforcement remains weak, and affected nations often struggle to claim full compensation.

     

    PYQ:

    [2014] International civil aviation laws provide all countries complete and exclusive sovereignty over the airspace above their territory. What do you understand by ‘airspace’? What are the implications of these laws on the space above this airspace? Discuss the challenges which this poses and suggest ways to contain the threat.

     

  • Wolly Mammoth Traits in Mice using Gene Editing

    Why in the News?

    Recently, Colossal Biosciences has created a “Woolly Mouse” by editing seven genes in mice embryos to mimic the cold-adaptive traits of woolly mammoths.

    What are Woolly Mammoths?

    • The Woolly Mammoth (Mammuthus primigenius) was a large, Ice Age herbivore that roamed Eurasia and North America, thriving in cold tundra environments.
    • It had a thick woolly coat, a fat layer for insulation, and small ears to minimize heat loss.
    • Mammoths lived in herds and primarily fed on grasses and shrubs.
    • They went extinct around 4,000 years ago, likely due to climate change, habitat loss, and human hunting.
    • Scientists believe reviving mammoth-like elephants could help restore Arctic ecosystems and slow permafrost thawing.

    Wolly Mammoth Traits in Mice using Gene Editing

    About Woolly Mice

    • The Woolly Mouse is a genetically modified laboratory mouse developed by Colossal Biosciences to test their de-extinction research.
    • Scientists successfully edited seven genes, resulting in mice with thick, woolly fur, mimicking the coat of a woolly mammoth.
    • Key Features of Woolly Mice:
      • Genetically engineered for cold-resistant traits using DNA modifications.
      • Long, thick, wavy fur and curled whiskers, resembling mammoth adaptations.
      • Created by combining multiple genetic variants into a single organism.
      • Serves as a model organism to test gene-editing techniques before applying them to Asian elephants, the closest living relatives of woolly mammoths.

    Technology Used in Woolly Mouse Development:

    • The CRISPR-Cas9 system was used to precisely modify DNA.
    • Scientists identified genes responsible for fur texture, length, and body fat metabolism, allowing them to engineer cold-resistant traits.
    • Scientists edited seven genes simultaneously, an unprecedented feat in genetic engineering.
    • Key genes modified included:
      • FGF5:  regulates hair growth, making it longer and thicker.
      • MC1R: controls hair color, giving the mice a golden hue similar to mammoth fur.
      • Hair follicle structure genes: induced woolly hair texture, wavy coats, and curled whiskers.

    PYQ:

    [2013] Recombinant DNA technology (Genetic Engineering) allows genes to be transferred:

    1. across different species of plants

    2. from animals to plants

    3. from microorganisms to higher organisms

    Select the correct answer using the codes given below:

    (a) 1 only

    (b) 2 and 3 only

    (c) 1 and 3 only

    (d) 1, 2 and 3

     

  • DeepSeek’s market disruption must awaken India

    Why in the News?

    DeepSeek has disrupted the global tech industry and stock markets with its affordable artificial intelligence (AI) model.

    How does DeepSeek’s low-cost AI model pose a threat to India’s dominance in the global IT sector?

    • Cost Efficiency and Competitive Pressure: DeepSeek’s AI models, developed at a fraction of the cost compared to traditional models, could pressure Indian IT firms to reduce their prices, potentially impacting profit margins. For example, DeepSeek’s R1 model was built using less-advanced Nvidia H800 chips, significantly lowering development costs.
    • Acceleration of AI Adoption: The affordability of DeepSeek’s models may lead to faster AI adoption globally, compelling Indian IT companies to integrate AI rapidly into their services to remain competitive. This swift integration could strain resources and require substantial upskilling of the workforce.
    • Shift in Client Expectations: Clients may begin to expect more cost-effective AI solutions, challenging Indian IT firms to innovate and offer similar value propositions. This shift could disrupt traditional business models that rely on higher-cost infrastructures.
    • Increased Global Competition: DeepSeek’s success might inspire other low-cost AI entrants, intensifying competition in markets where Indian IT firms have traditionally held strong positions. This could lead to a more crowded marketplace, making differentiation more challenging.

    What lessons can Indian IT firms learn from DeepSeek’s approach to research and development (R&D)?

    • Prioritize Long-term Innovation Over Short-term Gains: DeepSeek treated AI development as a secondary initiative, yet its investment in long-term innovation led to groundbreaking success. Indian IT firms should allocate resources to explore emerging technologies beyond immediate client needs.
    • Utilize Surplus Capital for Experimental Projects: DeepSeek leveraged excess resources from its financial trading operations to invest in AI research. Indian IT companies can similarly channel surplus funds into experimental R&D, such as advanced AI and quantum computing.
    • Invest in Talent and Advanced Research: DeepSeek’s success was driven by advanced AI expertise. Indian IT firms should actively recruit and retain top researchers, particularly those with specialized skills (e.g., PhDs in machine learning), to drive future innovation.

    Why is increasing Gross Domestic Expenditure on R&D (GERD) crucial for India?

    • Enhances Technological Competitiveness: Higher R&D spending fosters innovation, enabling India to compete globally in emerging technologies like AI, quantum computing, and biotechnology. Without increased GERD, India risks falling behind nations like China, which invests over 2.43% of its GDP in R&D.
    • Drives Economic Growth and Job Creation: Increased R&D investment stimulates industrial innovation, leading to the development of new products, industries, and high-value jobs. Countries with higher GERD, like South Korea (4.93% of GDP), have seen robust economic growth driven by technological advancements.
    • Reduces Dependence on Foreign Technologies: Greater domestic R&D investment strengthens self-reliance in critical sectors such as defense, healthcare, and clean energy. For instance, India’s investment in space technology through ISRO’s R&D has reduced dependency on foreign satellite services while enhancing national security.

    Why is increasing Gross Domestic Expenditure on R&D (GERD) crucial for India?

    • Strategic National Security Advancement: Quantum technology can revolutionize secure communications through quantum encryption, making data virtually unhackable. Countries like China have already developed quantum communication satellites, enhancing their cybersecurity capabilities.
    • Global Competitiveness in Emerging Industries: Investing in quantum computing enables breakthroughs in industries like pharmaceuticals, finance, and logistics. For instance, quantum simulations can accelerate drug discovery by accurately modeling complex molecules.
    • Reducing Dependence on Foreign Technology: Developing indigenous quantum capabilities reduces reliance on global tech giants for advanced computing solutions. India’s National Quantum Mission (NQM) aims to build quantum computers and communication networks, promoting self-reliance.
    • Strengthening Scientific Collaboration and Talent Development: Quantum research encourages interdisciplinary collaboration and advanced skill development, attracting top scientific talent. India’s initiatives like the Quantum-Enabled Science & Technology (QuEST) program aim to build a skilled workforce and global research partnerships.

    How can India balance the growth of both manufacturing and services sectors to foster innovation and economic competitiveness? (Way Forward)

    • Promoting Synergy Between Manufacturing and Digital Services: Encourage the integration of advanced digital technologies (e.g., AI, IoT) in manufacturing to enhance productivity and global competitiveness. For instance, initiatives like “Make in India” combined with “Digital India” promote smart manufacturing and digital service exports.
    • Investing in Skill Development for Both Sectors: Develop a workforce equipped with technical and digital skills to meet the demands of both manufacturing and service industries. Programs like the Skill India Mission train workers in emerging technologies, bridging the gap between traditional manufacturing and modern services.
    • Strengthening R&D and Innovation Ecosystems: Foster public-private collaboration to drive research and innovation across sectors, ensuring technological advancements benefit both industries. For example, the Production Linked Incentive (PLI) scheme incentivizes domestic manufacturing while encouraging innovation in areas like electronics and pharmaceuticals.

    Mains PYQ:

    Q “The emergence of the Fourth Industrial Revolution (Digital Revolution) hasinitiated e-Governance as an integral part of government”. Discuss. (UPSC IAS/2020)

  • What is Planetary Alignment?

    Why in the News?

    On February 29, 2024, skywatchers worldwide witnessed a rare planetary alignment (parade) with seven planets—Mars, Jupiter, Uranus, Neptune, Mercury, Saturn, and Venus—lining up in the night sky.

    What is Planetary Alignment?

    • A planetary alignment occurs when multiple planets in the Solar System appear to line up in the sky as seen from Earth.
    • This phenomenon happens because planets orbit the Sun in a flat, disc-shaped plane called the ecliptic.
    • Although planets remain millions of kilometers apart, they seem to form a straight line from Earth’s perspective due to optical illusion and perspective.
    • The term “planet parade” is also used to describe this occurrence when multiple planets become visible in the sky at the same time.
    • Types of Planetary Alignments:
    1. Conjunction: Two or more planets appear close to each other in the sky.
    2. Small Alignment: Three planets align in a visible line.
    3. Large Alignment: Four or more planets appear aligned from Earth’s perspective.
    4. Full Alignment: All eight planets of the Solar System appear in a single line (very rare).

    How often do Planetary Alignments occur?

    • Planetary alignments are not uncommon, but their rarity depends on the number of planets involved.
      • Two- or Three-Planet Alignments: Occur multiple times a year.
      • Four- or Five-Planet Alignments: Visible every few years.
      • Six- or Seven-Planet Alignments: Appear every few decades.
      • Full Alignment (All Eight Planets): Extremely rare, occurs once every 170–200 years.
    • Recent & Upcoming Alignments:
      • August 2025: Expected four-planet alignment.
      • May 2492: The next predicted full planetary alignment of all eight planets.

    PYQ:

    [2019] On 21st June, the Sun:

    (a) does not set below the horizon at the Arctic Circle
    (b) does not set below the horizon at Antarctic Circle
    (c) shines vertically overhead at noon on the Equator
    (d) shines vertically overhead at the Tropic of Capricorn

     

  • Research team takes big step towards making a Bose Metal

    Why in the News?

    Researchers have recently discovered a potential new state of matter, the Bose metal, found between a regular metal and a superconductor, with evidence of this phase in Niobium Diselenide (NbSe₂) by a team of Chinese and Japanese scientists.

    What is a Bose Metal?

    • A Bose metal is a hypothetical anomalous metallic state where Cooper pairs (electron pairs) form but do not transition into a superconducting state.
    • This state exists between a normal metal and a superconductor, challenging traditional theories of condensed matter physics.
    • In simple terms, a Bose metal is a material where:
      • Electrons pair up into Cooper pairs (like in superconductors).
      • However, these Cooper pairs fail to achieve long-range coherence, meaning the material remains metallic instead of becoming superconducting.
      • This results in partial electrical resistance, unlike superconductors that have zero resistance.
    • Recent experimental studies suggest their existence in materials like Niobium Diselenide (NbSe₂) when subjected to specific conditions, such as thin layers and applied magnetic fields.

    Key Features:

    • Intermediate State: Exists between a metal and a superconductor.
    • Cooper Pair Formation: Electrons form pairs, but they don’t condense into superconductivity.
    • Anomalous Conductivity: Higher than normal metals but not infinite like superconductors.
    • Quantum Fluctuations: Strong phase fluctuations disrupt Cooper pair coherence.
    • Hall Resistance Vanishing: Indicates charge transport by Cooper pairs rather than individual electrons.
    • Observed in Thin 2D Materials: Seen in ultra-thin films of superconductors under specific conditions.

    PYQ:

    [2013] Due to improper/indiscriminate disposal of old and used computers or their parts, which of the following are released into the environment as e-waste?

    1. Beryllium
    2. Cadmium
    3. Chromium
    4. Heptachlor
    5. Mercury
    6. Lead
    7. Plutonium

    Select the correct answer using the codes given below:

    (a) 1, 3, 4, 6 and 7 only
    (b) 1, 2, 3, 5 and 6 only
    (c) 2, 4, 5 and 7 only
    (d) 1, 2, 3, 4, 5, 6 and 7

     

  • ‘Blue Ghost’ Mission 1

    Why in the News?

    US’s Firefly Aerospace’s Blue Ghost Mission 1 successfully landed on the Moon, becoming the second private mission to do so and the first to land upright.

    What is ‘Blue Ghost’ Mission 1?

    • Blue Ghost Mission 1 is a private lunar landing mission by Firefly Aerospace under NASA’s Commercial Lunar Payload Services (CLPS) program.
    • It was launched aboard a SpaceX Falcon 9.
    • It successfully landed on the Moon, at Mons Latreille, Mare Crisium.
    • The mission is designed to operate for 14 Earth days (one lunar day).

    Key Features of Blue Ghost Mission 1:

    • Carries 10 scientific instruments, including a lunar soil analyzer, a radiation-tolerant computer, and a GPS-based navigation experiment to test satellite navigation on the Moon.
    • Equipped with a high-definition imaging system to capture a lunar eclipse (March 14, 2024) and lunar sunset (March 16, 2024).
    • Successfully navigated a rocky and cratered surface using hazard-avoidance technology, slowing from thousands of miles per hour to just two mph before touchdown.
    • The lander is golden in color and about the size of a hippopotamus.
    • It supports Artemis missions by testing lunar technologies and reducing costs for future human exploration.

    PYQ:

    [2016] What is ‘Greased Lightning-10 (GL-10)’, recently in the news?

    (a) Electric plane tested by NASA

    (b) Solar-powered two-seater aircraft designed by Japan

    (c) Space observatory launched by China

    (d) Reusable rocket designed by ISRO

     

  • [1st March 2025] The Hindu Op-ed: The steps that will shape India’s AI ambition

    PYQ Relevance:

    Q) The emergence of the Fourth Industrial Revolution (Digital Revolution) has initiated e-Governance as an integral part of government”. Discuss. (UPSC CSE 2020)

    Mentor’s Comment: UPSC mains have always focused on the Fourth Industrial Revolution (Digital Revolution)  (2020) and the development of IT industries  (2021).

    Despite a skilled workforce, Indian firms often lose AI deals due to capability gaps. In the intense AI race against Silicon Valley, China, and Southeast Asia, India must focus on fostering innovation and ensuring market regulations do not hinder its progress.

    Today’s editorial talks about the AI-related challenges in India. This content would help in GS Paper 3 mains.

    _

    Let’s learn!

    Why in the News?

    In Bengaluru, Indian developers face tough competition from China for AI projects. To lead the AI race, India must focus on supportive regulations and enhancing technological capabilities.

    What are the key issues related to Artificial Intelligence (AI) in India?

    • Job Displacement and Skill Gap: Increased AI adoption threatens to automate routine jobs, leading to large-scale unemployment and requiring a workforce with advanced digital skills. Example: The NASSCOM report (2023) highlighted that 69% of Indian tech workers need to upskill in AI and machine learning to remain employable as automation rises.
    • Algorithmic Bias and Ethical Concerns: AI systems can reflect and amplify societal biases, leading to discriminatory outcomes in hiring, lending, and public services. Example: In 2023, the Union Public Service Commission (UPSC) faced criticism when its AI-based screening system allegedly disadvantaged candidates from marginalized backgrounds during preliminary evaluations.
    • Misinformation and Deepfake Threats: AI-generated misinformation and deepfakes undermine public trust, pose security risks, and impact democratic processes. Example: During the 2024 Lok Sabha elections, deepfake videos impersonating political leaders circulated widely on social media, raising concerns about election manipulation.
    • Regulatory Uncertainty and Compliance Costs: The lack of a unified AI policy and fragmented regulations create legal ambiguity, increasing compliance burdens for Indian startups. Example: In 2023, Indian app developers filed a complaint with the Competition Commission of India (CCI) against Google for restrictive AI-related practices on the Play Store, citing unfair competition.
    • Global Competitiveness and Innovation Lag: Over-regulation and high compliance costs could hinder AI innovation, making India less competitive against global leaders like the U.S. and China. Example: India’s AI startup investments lag behind China and the U.S., with China attracting four times more AI funding in 2023, according to a Stanford AI Index report.

    Where does India stand in the global Artificial Intelligence (AI) race?

    • Emerging AI Hub with Growing Investments: India is positioning itself as an emerging AI hub with increasing investments in AI research and development, but it still lags behind global leaders like the U.S. and China. Example: According to the Stanford AI Index Report 2023, India ranked fifth globally in AI research output but attracted significantly less AI funding compared to China and the U.S.
    • Government Initiatives to Boost AI Innovation: India has launched several initiatives to promote AI adoption, such as the “National Program on AI” and the establishment of AI research centers to enhance innovation and application. Example: In 2023, the Ministry of Electronics and Information Technology (MeitY) introduced the “IndiaAI” mission to promote AI-based solutions in healthcare, agriculture, and education.
    • Challenges in Global Competitiveness: Despite having a large talent pool, India faces challenges in scaling AI innovation due to fragmented regulations, limited high-performance computing resources, and competition from advanced economies. Example: While India produced over 20,000 AI and machine learning professionals in 2023, its AI exports remain limited compared to China’s dominance in AI-driven hardware and cloud solutions.

    What is the current regulatory framework for Artificial Intelligence (AI)?

    • Existing Laws Governing AI Use: India does not have a dedicated AI law but regulates AI through existing legal frameworks like the Information Technology (IT) Act, 2000, which governs data protection, cybersecurity, and intermediary liability.
    • Sector-Specific Guidelines: Various government bodies have issued guidelines for AI applications in specific sectors. For example: RBI Guidelines for AI in financial services (e.g., credit scoring) and Telecom Regulatory Authority of India (TRAI) recommendations on AI in data privacy and telecommunications.
    • National Strategy on AI: The government launched the National Strategy for Artificial Intelligence (NITI Aayog, 2018) to guide AI research, ethical standards, and public-sector AI deployment. Example: Under the IndiaAI Mission (2023), the government aims to promote responsible AI use while fostering innovation across industries.
    • Competition and Data Protection Framework: The Competition Commission of India (CCI) monitors anti-competitive practices by tech firms using AI algorithms. The Digital Personal Data Protection Act, 2023 regulates how AI systems process personal data. Example: In 2023, the CCI investigated Google for alleged AI-related anti-competitive practices on the Play Store.
    • AI Ethics and Responsible Use: Guidelines on the ethical use of AI emphasize transparency, fairness, and accountability without imposing ex-ante (preemptive) regulation. Example: In 2023, the Ministry of Electronics and IT (MeitY) released advisory notes on preventing algorithmic bias and ensuring explainability in AI decisions.

    Way forward: 

    • Comprehensive AI Policy Framework: Establish a unified and adaptive AI policy focusing on ethical guidelines, data privacy, and accountability to balance innovation with public interest.
    • Investment in AI Infrastructure and Skill Development: Enhance funding for AI research, expand high-performance computing resources, and implement large-scale reskilling programs to bridge the skill gap and improve global competitiveness.

  • Ultra-Conserved Elements (UCEs) in DNA

    Why in the News?

    Researchers have discovered a reason why certain segments of the human and mouse genomes (Tra2b gene) have remained unchanged for 80 million years. These segments, known as ultra-conserved elements (UCEs), play a vital role in regulating protein production

    What are Ultra-Conserved Elements (UCEs) in DNA?

    • Ultra-Conserved Elements (UCEs) are long, highly conserved DNA sequences (200+ base pairs) that have remained unchanged for millions of years across multiple species, including humans, mice, rats, chickens, and even fish.
    • Key Characteristics:
      • Found in both coding (gene) and non-coding (regulatory) regions of the genome.
      • Do not tolerate mutations, meaning they remain identical across species for tens of millions of years.
      • Many UCEs do not code for proteins but play crucial roles in gene regulation and cellular function.
    • Their importance:
      • Evolutionary Significance: Their extreme conservation suggests they are essential for survival, as any mutation would likely be harmful.
      • Gene Regulation: UCEs may function as enhancers or silencers, controlling when and where genes are activated.
      • Developmental Roles: They are often linked to brain development, fertility, and immune response.
      • Disease Prevention: UCEs may protect against genetic disorders and cancers by stabilizing gene expression.

    Why do Human and Mouse Genomes overlap?

    • Humans and mice share a common mammalian ancestor that lived around 80 million years ago.
    • Genomic Similarity:
      • Around 85% of mouse genes have direct counterparts in humans.
      • Nearly 500 UCEs are identical between humans and mice, despite millions of years of evolution.
    • Many fundamental processes like cell division, metabolism, and brain function are similar between species, necessitating high conservation of crucial DNA regions.
    • Medical Research:
      • Because of these similarities, mice serve as a model organism for studying human genetics, diseases, and drug responses.
      • UCEs help scientists understand gene function across species, leading to insights into evolution and biomedical advancements.

    PYQ:

    [2013] Recombinant DNA technology (Genetic Engineering) allows genes to be transferred

    1. across different species of plants

    2. from animals to plants

    3. from microorganisms to higher organisms

    Select the correct answer using the codes given below:

    (a) 1 only

    (b) 2 and 3 only

    (c) 1 and 3 only

    (d) 1, 2 and 3