BharatNotes Overview
Artificial Intelligence has moved from research labs to everyday life -- powering search engines, medical diagnostics, autonomous vehicles, and judicial assistants. Yet the rapid deployment of AI raises profound governance questions: Who is accountable when an algorithm discriminates? How should governments regulate systems that evolve faster than legislation? Can AI-generated deepfakes undermine democracies? For UPSC, AI governance spans GS3 (Science & Technology, Economic Development) and GS4 (Ethics) -- questions test understanding of regulatory frameworks, India's policy approach, ethical implications, and global comparisons.
This chapter goes deep into AI governance, ethics, and India's policy architecture -- distinct from the broad overview of emerging technologies covered in Chapter 5.
AI Landscape — Key Concepts
Types of AI
| Type | Description | Current Status |
|---|---|---|
| Narrow AI (ANI) | Designed for a specific task -- image recognition, language translation, chess | All current AI systems are narrow AI; this is the only type that exists today |
| General AI (AGI) | Hypothetical AI with human-level cognitive abilities across all domains -- reasoning, learning, creativity | Does not exist; remains a research aspiration; timelines debated (decades to never) |
| Super AI (ASI) | Hypothetical AI surpassing human intelligence in every domain | Purely theoretical; raises existential risk debates (Bostrom, Russell) |
Key AI Technologies
| Technology | What It Does |
|---|---|
| Machine Learning (ML) | Algorithms that learn patterns from data without being explicitly programmed; includes supervised, unsupervised, and reinforcement learning |
| Deep Learning | Subset of ML using artificial neural networks with multiple layers; powers image recognition, speech processing, and language models |
| Generative AI | AI that creates new content -- text (ChatGPT, Gemini), images (DALL-E, Midjourney), code, music -- based on patterns in training data |
| Natural Language Processing (NLP) | Enables machines to understand, interpret, and generate human language |
| Computer Vision | Enables machines to interpret visual information from images and videos |
The AI Governance Challenge
Why AI Needs Governance
| Challenge | Detail |
|---|---|
| Algorithmic bias | AI systems trained on biased data reproduce and amplify societal inequalities -- in hiring, lending, criminal justice, and healthcare; Amazon's AI recruiting tool (scrapped 2018) penalised resumes containing the word "women's" |
| Transparency / Black box problem | Deep learning models often cannot explain their decision-making process; a doctor or judge cannot understand why the AI reached a particular conclusion |
| Accountability gap | When an AI system causes harm (misdiagnosis, wrongful denial of loan, autonomous vehicle accident), legal liability is unclear -- is it the developer, deployer, or user? |
| Privacy | AI systems require massive datasets, often including personal data; facial recognition, surveillance, and behavioural profiling raise fundamental privacy concerns |
| Deepfakes | AI-generated synthetic media (video, audio, images) can impersonate real people, spread disinformation, manipulate elections, and enable fraud |
| Job displacement | Automation threatens jobs across sectors -- manufacturing, customer service, data entry, content creation; McKinsey estimates 400-800 million workers globally could be displaced by 2030 |
| Autonomous weapons | Lethal Autonomous Weapons Systems (LAWS) that can select and engage targets without human intervention raise fundamental ethical and legal questions |
For Mains: AI governance is not just a technology question -- it is a governance, ethics, and rights question. The challenge is to regulate AI without stifling innovation. India's approach of "light-touch regulation" contrasts with the EU's comprehensive legislation. Discuss the merits and risks of each approach.
Global AI Regulatory Approaches
EU AI Act, 2024
| Feature | Detail |
|---|---|
| Adopted | June 2024; entered into force 1 August 2024; full applicability by 2 August 2026 |
| Approach | Risk-based classification -- the first comprehensive AI-specific legislation globally |
| Unacceptable risk (banned) | Social scoring by governments, real-time remote biometric identification in public spaces (with limited exceptions), manipulation of vulnerable groups, emotion recognition in workplaces/schools |
| High risk (regulated) | AI in critical infrastructure, education, employment, law enforcement, migration, justice; must meet transparency, data governance, human oversight, and accuracy requirements |
| Limited risk (transparency) | Chatbots, deepfakes -- users must be informed they are interacting with AI or viewing AI-generated content |
| Minimal risk (unregulated) | AI-enabled video games, spam filters -- the majority of current AI applications |
| Penalties | Up to EUR 35 million or 7% of global annual turnover for violations |
US Approach
| Feature | Detail |
|---|---|
| Executive Order 14110 | Signed by President Biden on 30 October 2023 -- the most comprehensive US government AI governance action; required safety testing, red-teaming, and reporting for powerful AI models |
| Status | Rescinded by President Trump on 20 January 2025; replaced with Executive Order emphasising deregulation and US AI leadership |
| Approach | Sectoral regulation rather than a single comprehensive law; agencies like FDA, FTC, and EEOC apply existing frameworks to AI within their domains |
| Blueprint for an AI Bill of Rights | Released 2022 -- non-binding principles: safe systems, algorithmic discrimination protection, data privacy, notice and explanation, human alternatives |
China's AI Regulations
| Regulation | Year | Key Provisions |
|---|---|---|
| Administrative Provisions on Deep Synthesis | January 2023 | Regulates deepfakes and synthetic content; requires labelling and traceability |
| Interim Measures for Generative AI Services | August 2023 | First binding regulation for generative AI globally; requires security assessments, algorithm filing with the Cyberspace Administration of China (CAC), content moderation, and adherence to "socialist core values" |
| AI Content Labelling Measures | September 2025 | Mandatory "Generated by AI" labels on all AI-generated content |
| Approach | Technology-specific regulations rather than a single comprehensive law; prioritises state control over content and data |
For Prelims: EU AI Act = risk-based framework, 4 categories (unacceptable/high/limited/minimal risk), entered into force August 2024. US Biden EO 14110 on AI safety was rescinded by Trump in January 2025. China was the first country with binding generative AI regulations (August 2023).
India's AI Policy Framework
IndiaAI Mission
| Feature | Detail |
|---|---|
| Approved | 7 March 2024 by Union Cabinet |
| Outlay | Rs 10,372 crore for 5 years |
| Implementing body | IndiaAI Independent Business Division (IBD) under Digital India Corporation (DIC), Ministry of Electronics and IT (MeitY) |
| Compute infrastructure | Rs 4,563 crore for scalable AI computing; original target 10,000 GPUs; as of early 2026, 34,000+ GPUs onboarded across public-private partnerships (H100/H200 NVIDIA + Google Trillium TPUs); available to startups and researchers at ₹115–150 per GPU-hour (~42% below market rates); government target: 1,00,000 GPUs by end-2026 (PIB / IndiaAI portal, March 2026) |
| Innovation Centre | Rs 1,971 crore for IndiaAI Innovation Centre (IAIC) -- R&D hub for foundational AI models |
| Startup financing | Rs 1,943 crore for AI startup ecosystem development |
| FutureSkills | Rs 883 crore for AI talent development and skilling programmes |
| Datasets platform | IndiaAI Datasets Platform to unify non-personal government datasets for AI training |
| AI safety | IndiaAI Safe AI pillar -- guidelines for responsible AI deployment |
NITI Aayog — Responsible AI for All (#AIForAll)
| Document | Date | Key Content |
|---|---|---|
| National Strategy for AI | June 2018 | Identified 5 focus sectors: healthcare, agriculture, education, smart cities, smart mobility |
| Responsible AI Part 1: Principles | February 2021 | 7 principles derived from Constitutional values: (1) inclusive growth, non-discrimination and equity; (2) safety and reliability; (3) privacy and data protection; (4) transparency and explainability; (5) accountability and auditability; (6) human oversight; (7) social and environmental well-being |
| Responsible AI Part 2: Operationalisation | August 2021 | Framework for implementing the 7 principles in practice -- sector-specific guidance |
India's Global AI Engagement
| Initiative | Detail |
|---|---|
| GPAI (Global Partnership on AI) | India is a founding member (June 2020); served as Council Chair in 2022; hosted the GPAI Summit in New Delhi, December 2023; was Lead Chair in 2024 and Outgoing Chair in 2025. Structural change (July 2024): GPAI merged with the OECD's AI work, creating an integrated 44-country partnership with a focus on expanding to low- and middle-income countries. India joined as one of six GPAI-only countries added to the OECD AI partnership (OECD.AI / Science |
| AI Safety Summit | India participated in the Bletchley Park AI Safety Summit (November 2023, UK) and Seoul AI Safety Summit (May 2024) |
| Paris AI Action Summit | Co-chaired by France + India (PM Modi) at Grand Palais, Paris, 10–11 February 2025; 100+ countries; 58 nations (including India, China, France; US and UK did not sign) signed joint "Statement on Inclusive and Sustainable AI for People and the Planet"; India backed the €400M Current AI foundation for AI public goods; Modi stressed democratising AI for Global South |
| Approach | India favours innovation-friendly, risk-proportionate regulation rather than prescriptive legislation; no dedicated AI law as of March 2026; regulation through existing frameworks (IT Act, DPDP Act 2023, sector-specific rules) |
For Mains: India's approach to AI regulation is distinct from the EU (comprehensive law) and the US (sectoral regulation). India relies on existing legal frameworks, voluntary guidelines (NITI Aayog), and mission-mode programmes (IndiaAI Mission). Critically evaluate whether this "light-touch" approach is adequate given AI's rapid proliferation and the risks of algorithmic bias, deepfakes, and job displacement in a country with India's demographic profile.
AI in Indian Governance
Key Applications
| Application | System / Initiative | Detail |
|---|---|---|
| Judiciary | SUPACE (Supreme Court Portal for Assistance in Courts Efficiency) | Launched April 2021; AI-assisted tool for case management -- extracts facts, chronology, and precedents from case files; does NOT take decisions; assists judges and researchers |
| Agriculture | AI-powered crop advisory | ICAR and state governments deploying AI for pest prediction, yield estimation, and soil analysis |
| Healthcare | eSanjeevani CDSS | AI-based Clinical Decision Support System integrated into India's telemedicine platform; covers 300 symptoms with branching logic |
| Tax administration | Project Insight | AI-based data analytics for identifying tax evasion patterns |
| Smart cities | ICCC (Integrated Command & Control Centres) | AI-powered surveillance, traffic management, and civic service delivery in 100 smart cities |
| e-Courts Phase III | AI and blockchain | Rs 53.57 crore allocated for AI/ML in judicial domain under eCourts Phase III (2023--2027) |
Deepfakes — Regulation and Risks
The Deepfake Challenge
| Aspect | Detail |
|---|---|
| What | AI-generated synthetic media -- realistic but fake videos, audio, and images of real people |
| Technology | Generative Adversarial Networks (GANs) and diffusion models enable increasingly convincing deepfakes |
| Risks | Election manipulation, non-consensual intimate imagery, financial fraud (CEO voice cloning), erosion of trust in authentic media |
| Scale | India ranks among the top 6 most deepfake-susceptible nations; incidents involving political leaders and celebrities have surged |
India's Regulatory Response
| Measure | Detail |
|---|---|
| IT Rules Amendment (2025) | Amended the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021; came into force 15 November 2025; defines "synthetically generated information" (SGI); mandates 3-hour takedown for flagged deepfake content (down from 36 hours) |
| MeitY Advisories | Multiple advisories to social media intermediaries reminding them of due diligence obligations regarding AI-generated content |
| Section 66D, IT Act | Punishment for cheating by personation using a computer resource -- applicable to deepfake-based fraud |
| Existing criminal law | IPC/BNS provisions on defamation, obscenity, and impersonation apply to harmful deepfakes |
Autonomous Weapons — The LAWS Debate
| Aspect | Detail |
|---|---|
| What are LAWS | Lethal Autonomous Weapons Systems -- weapons that can select and engage targets without meaningful human control |
| UN process | Group of Governmental Experts (GGE) under the Convention on Certain Conventional Weapons (CCW) has been discussing LAWS since 2014 |
| UNGA Resolution (December 2024) | Adopted with 166 votes in favour, 3 against (Belarus, DPRK, Russia), 15 abstentions; called for urgent action towards a binding instrument |
| Key positions | Prohibitionists: ban all LAWS (Campaign to Stop Killer Robots); Regulators: new treaty with prohibitions + restrictions; Traditionalists: existing IHL is sufficient |
| Timeline | UN Secretary-General and ICRC call for treaty negotiations to conclude by end of 2026 |
| India's position | India participates in CCW GGE discussions; supports human control over the use of force; has not committed to a binding ban |
For Mains: "The development of Lethal Autonomous Weapons Systems raises fundamental questions about the ethics of delegating life-and-death decisions to machines." Discuss India's position and the prospects for an international treaty.
AI and Intellectual Property
| Issue | Detail |
|---|---|
| AI-generated works | Can AI-generated art, music, or text be copyrighted? Most jurisdictions (including India) require a human author; Copyright Act 1957 protects works by "authors" -- AI is not an "author" |
| AI and patents | DABUS (an AI system) was denied patent inventorship by courts in the US, UK, and Australia; only natural persons can be "inventors" under most patent laws |
| Training data | AI models trained on copyrighted material raise infringement questions; ongoing lawsuits (New York Times v. OpenAI) globally |
| India's position | No specific legislation; existing IP framework applies; Parliamentary Standing Committee has recommended a review of IP laws in the context of AI |
AI Ethics — Key Philosophical Frameworks
| Framework | Core Idea | Application to AI |
|---|---|---|
| Utilitarianism | Maximise overall well-being; actions are judged by their outcomes | AI should be deployed where it maximises net benefit to society; but whose well-being counts, and who decides? |
| Deontological (Kantian) | Actions must respect universal moral rules and human dignity regardless of consequences | AI must never treat humans merely as means to an end; informed consent, transparency, and respect for autonomy are non-negotiable |
| Virtue ethics | Focus on the character and intentions of the moral agent | AI developers and deployers must cultivate responsibility, honesty, and fairness; "ethical AI" requires ethical humans |
| Rights-based | Certain fundamental rights (privacy, non-discrimination, due process) cannot be violated even for greater good | AI must not infringe on fundamental rights regardless of efficiency gains; basis of the EU AI Act's approach |
| Justice as fairness (Rawlsian) | Inequalities are acceptable only if they benefit the least advantaged members of society | AI systems must be evaluated by their impact on the most vulnerable; bias that disproportionately harms marginalised groups is unjust |
For Mains (GS4 Ethics): AI ethics is not merely a technical problem -- it raises foundational questions about moral agency, accountability, justice, and what it means to be human. The "trolley problem" in autonomous vehicles (whom should the car save in an unavoidable accident?) illustrates how AI forces us to make explicit the moral choices that humans make implicitly every day.
AI and Data Protection — The DPDP Act Connection
| Feature | Detail |
|---|---|
| Digital Personal Data Protection Act, 2023 | India's first comprehensive data protection law; governs collection, processing, and storage of personal data |
| Relevance to AI | AI systems depend on massive datasets, often containing personal data; DPDP Act imposes consent requirements, purpose limitation, and data minimisation -- directly affecting AI training and deployment |
| Data Principal rights | Right to access, correction, erasure of personal data; right to grievance redressal -- AI systems must respect these rights |
| Automated decision-making | The DPDP Act does not explicitly address algorithmic decision-making rights (unlike EU GDPR Article 22); this is a gap in India's framework |
| Cross-border data | Data can be transferred to countries not on the government's restricted list; enables AI model training on global cloud infrastructure |
| AI-specific gap | No right to explanation for AI-driven decisions; no mandatory algorithmic impact assessment; these may need to be addressed through sectoral regulations |
AI, Jobs, and the Future of Work
| Aspect | Detail |
|---|---|
| Displacement risk | Routine cognitive tasks (data entry, bookkeeping, basic coding, customer service) most vulnerable; ILO estimates generative AI could automate tasks in ~300 million jobs globally |
| Augmentation | AI augments professionals -- doctors (diagnostics), lawyers (research), teachers (personalised learning) -- rather than fully replacing them |
| India's challenge | India's demographic dividend depends on job creation; if AI automates service sector jobs (IT, BPO) before manufacturing absorbs surplus labour, the employment challenge intensifies |
| Policy responses | Reskilling programmes (IndiaAI FutureSkills), social safety nets, education reform to emphasise creativity, critical thinking, and human skills that AI cannot replicate |
Comparison of Global AI Governance Models
| Parameter | EU | USA | China | India |
|---|---|---|---|---|
| Approach | Comprehensive, risk-based legislation | Sectoral regulation (no single AI law) | Technology-specific regulations; state-directed | Light-touch; existing frameworks + voluntary guidelines |
| Key instrument | EU AI Act (2024) | Biden EO 14110 rescinded by Trump Jan 2025; new EO on "AI leadership" (deregulatory); sector-specific rules (FDA, FTC, EEOC) | Generative AI Measures (2023); AI Content Labelling (Sep 2025) | IndiaAI Mission (2024); India AI Governance Guidelines (Nov 2025); DPDP Rules (Nov 2025); IT Rules Amendment (Nov 2025) |
| Enforcement | Strong -- up to EUR 35 million / 7% turnover | Varies by sector; FTC, FDA enforcement | CAC enforcement; algorithm filing; content control | Through existing regulators; no AI-specific enforcement body |
| Innovation stance | Regulation-first; may slow innovation | Pro-innovation (post-2025); minimal regulation | State-guided innovation; control over content | Innovation-first; regulation later |
| Bias/fairness | Mandatory bias audits for high-risk AI | No binding requirement | Limited provisions | Voluntary (NITI Aayog principles) |
| Transparency | Mandatory for high-risk and limited-risk AI | Varies | Mandatory labelling for AI-generated content | Emerging (IT Rules Amendment on deepfakes) |
UPSC Relevance
Prelims Focus Areas
- IndiaAI Mission: approved March 2024; Rs 10,372 crore; 5 years; MeitY; 34,000+ GPUs onboarded early 2026 (target 1,00,000 by end-2026); subsidised at ₹115–150/GPU-hour
- EU AI Act: risk-based framework; 4 categories; entered into force 2 August 2024; full applicability by 2 August 2026
- NITI Aayog Responsible AI: 7 principles (February 2021); #AIForAll
- GPAI: India founding member (2020); Council Chair 2022; hosted Summit December 2023; Lead Chair 2024; Outgoing Chair 2025; GPAI merged with OECD AI work July 2024 (44-country integrated partnership)
- SUPACE: launched April 2021; AI-assisted tool for Supreme Court case management (does NOT take decisions)
- Deepfake regulation: IT Rules Amendment (15 November 2025); 3-hour takedown; SGI (Synthetically Generated Information) definition
- LAWS: UNGA resolution December 2024 — 166 in favour, 3 against (Belarus, DPRK, Russia); binding instrument negotiations target end-2026
- Paris AI Action Summit: 10–11 February 2025; co-chaired by France + India (PM Modi); 58 nations signed declaration; US + UK did NOT sign; India backed Current AI €400M fund for AI public goods
- AI Ethics and Accountability Bill, 2025: Private Member's Bill (MP Bharti Pardhi, 17 Dec 2025) — NOT government legislation; proposes Ethics Committee for AI; penalties up to ₹5 crore
- India AI Governance Guidelines: MeitY, 5 November 2025; lightweight approach; AIGG + TPEC + IndiaAI Safety Institute
Mains Focus Areas
- AI governance models -- EU (comprehensive), US (sectoral), China (state-directed), India (light-touch)
- Algorithmic bias and discrimination -- implications for social justice and constitutional values
- Deepfakes and the integrity of democratic processes
- AI in governance -- potential and limitations (SUPACE, eSanjeevani CDSS, smart cities)
- Job displacement vs augmentation -- India's demographic dividend at risk?
- Autonomous weapons -- ethics of delegating lethal force to machines
- Balancing innovation with regulation -- India's approach
Cross-paper relevance
- GS3 — Science-Technology (primary) — AI governance: IndiaAI Mission (₹10,372 crore, 7 pillars, 34,000+ GPUs as of early 2026), IndiaAI Governance Guidelines (Nov 2025, AIGG/TPEC/Safety Institute), AI Ethics and Accountability Bill 2025 (Private Member's Bill by MP Bharti Pardhi, introduced 17 Dec 2025 — not government legislation; proposes ₹5 crore penalties, Ethics Committee for AI), GPAI-OECD merger (July 2024, 44 countries), Tamil Nadu AI Policy
- GS4 — Ethics — AI ethics: algorithmic bias, autonomous weapons, job displacement, surveillance ethics, accountability gaps in AI decision-making
- GS2 — Governance dimension: regulatory framework for AI, Parliament's role in AI oversight, SUPACE (judicial AI tool), e-governance AI applications
- Essay — Recurring theme: "Artificial intelligence: promise and peril" (2023); "Ethics in the age of machines" (2022)
Recent Developments (2024–2026)
IndiaAI Mission — ₹10,372 Crore Framework and Governance Guidelines 2024–2025
The IndiaAI Mission was formally launched in March 2024 with a ₹10,372 crore outlay, operating across seven pillars: Compute Capacity, Innovation Centre, Datasets Platform, Application Development, FutureSkills, Startup Financing, and Safe & Trusted AI.
GPU deployment progress: The original target was 10,000 GPUs; as of early 2026, over 34,000 GPUs have been onboarded through the AI Compute portal (NVIDIA H100/H200 and Google Trillium TPUs added via three procurement tenders), with total committed capacity across all procurements reaching 38,000+ GPUs. The subsidised rate is ₹115–150 per GPU-hour — compared to market rates of ₹330–590 per hour for comparable AWS/Azure H100 access. The government's target is 1,00,000 GPUs by end-2026 (PIB, March 2026; IndiaAI portal). Larsen & Toubro is building sovereign AI factory infrastructure in Chennai (30 MW initial) and Mumbai (40 MW) using NVIDIA technology (NVIDIA Blog, 2025).
On 5 November 2025, MeitY unveiled the India AI Governance Guidelines, taking a "lightweight" adaptive approach rather than a standalone AI law. The guidelines established seven principles — Trust as Foundation, People First, Innovation over Restraint, Fairness & Equity, Accountability, Transparency, and Privacy — and proposed new institutional bodies: the AI Governance Group (AIGG), Technology & Policy Expert Committee (TPEC), and an IndiaAI Safety Institute. India explicitly chose not to introduce a new standalone AI regulation, instead leveraging the DPDP Act 2023 and existing IP laws to govern AI — contrasting with the EU's comprehensive AI Act approach.
UPSC angle: IndiaAI Mission (₹10,372 crore, 7 pillars, March 2024; 34,000+ GPUs as of early 2026; target 1,00,000 GPUs by end-2026), India AI Governance Guidelines (5 November 2025, lightweight approach, AIGG/TPEC/IndiaAI Safety Institute), and India's regulatory philosophy (innovation-first vs EU prescriptive) are Prelims and Mains GS-3 content.
Artificial Intelligence (Ethics and Accountability) Bill, 2025 — Private Member's Bill: On 17 December 2025, MP Bharti Pardhi introduced this bill in the Lok Sabha — India's first dedicated AI-specific legislation (albeit a Private Member's Bill, not government legislation). Key provisions: statutory Ethics Committee for AI; mandatory bias audits for high-risk AI in law enforcement, credit, employment; restrictions on discriminatory AI; penalties up to ₹5 crore; grievance mechanisms. Critical exam note: Private Member's Bills rarely become law (only 14 passed since 1952); this bill signals parliamentary concern but does not represent government's legislative roadmap. The government's stated approach remains reliance on existing frameworks (DPDP Act 2023, IT Rules) rather than a standalone AI law (SCC Online / ipleaders, December 2025).
Digital Personal Data Protection — DPDP Rules 2025 and AI Implications
India's long-awaited Digital Personal Data Protection Act, 2023 (DPDPA) received its implementing rules on 13 November 2025, covering ~800 million internet users (15% of global digital population). The rules take full effect from 13 May 2027 (18-month transition). For AI-driven organizations, the rules mandated Data Protection Impact Assessments (DPIAs), audits for Significant Data Fiduciaries, and systematic identification of algorithmic bias risks before deployment.
IT (Amendment) Rules 2025 separately mandated labelling of synthetic/AI-generated content and verification protocols — directly targeting deepfakes and AI misinformation. India's approach to AI content regulation bypasses a standalone AI law and instead amends existing IT Rules, reflecting MeitY's stated preference for adaptive regulation rather than comprehensive legislation. The proposed Digital India Act (to replace the 22-year-old IT Act 2000) remains under consultation as of 2026, expected to address AI, blockchain, and new-age platform governance.
UPSC angle: DPDP Rules 2025 (13 November 2025, effective 13 May 2027, DPIA mandate), IT Amendment Rules 2025 (synthetic content labelling), Digital India Act (proposed replacement for IT Act 2000), and India's AI regulatory philosophy are Mains GS-2/GS-3 and Prelims content.
EU AI Act 2024 — Global Benchmark for Risk-Based AI Regulation
The European Union's AI Act entered into force on 2 August 2024 — the world's first comprehensive legally binding AI regulation, applying a risk-based tiered framework. Unacceptable risk AI (e.g., social scoring, real-time public biometric surveillance) is prohibited. High-risk AI (medical devices, critical infrastructure, education, law enforcement) requires mandatory conformity assessments, human oversight, and transparency. Limited-risk AI (chatbots) requires transparency disclosures. General-purpose AI models (GPAIs like GPT-4) require technical documentation and copyright compliance.
The EU AI Act applies extraterritorially — any AI system used in the EU market must comply, regardless of where the developer is located. This has major implications for Indian IT companies exporting AI products to Europe. India's IT industry (₹224 billion exports FY25) must now align with EU AI Act compliance requirements. NASSCOM began AI Act compliance frameworks for Indian exporters in 2024. The Act also bans predictive policing AI and emotion recognition in workplaces — areas where India's own DPDP Act remains silent, creating regulatory divergence.
UPSC angle: EU AI Act (2 August 2024, risk-based tiers, world's first comprehensive AI law), prohibited AI categories, GPAI provisions, extraterritorial scope affecting Indian IT exports, and India-EU regulatory divergence are Mains GS-3 and essay content.
Vocabulary
Key Terms
Algorithmic Bias
- Definition: Algorithmic bias refers to systematic and repeatable errors in a computer system or AI model that produce unfair outcomes, such as privileging or disadvantaging particular groups of people on grounds like gender, race, caste or socio-economic status. It typically arises from unrepresentative or historically prejudiced training data, flawed model design, or biased human decisions embedded in the system's development and deployment.
- Context: As governments and companies increasingly use AI for hiring, credit scoring, policing, welfare delivery and facial recognition, biased algorithms can silently scale up discrimination. Landmark exposures include ProPublica's 2016 COMPAS investigation in the US, Amazon scrapping a recruiting tool that penalised women's résumés (reported October 2018), and the MIT Gender Shades study (2018) showing facial-analysis error rates of up to 34.7% for darker-skinned women versus 0.8% for lighter-skinned men. Regulators have responded: the EU AI Act entered into force on 1 August 2024, while India's MeitY released the India AI Governance Guidelines on 5 November 2025 with "Fairness and Equity" among its Seven Sutras.
- UPSC Relevance: Algorithmic bias is a foundational GS3 (Science & Technology — developments and their applications; ethics of emerging technologies) concept that underpins question families on Artificial Intelligence, digital governance, data protection and Responsible AI; it also feeds GS2 (governance, vulnerable sections) and GS4 (technology ethics) answers. For Prelims, aspirants should know institutional frameworks — NITI Aayog's Responsible AI principles (February 2021), the IndiaAI Mission (₹10,371.92 crore, approved March 2024), the India AI Governance Guidelines (November 2025) and the EU AI Act. For Mains, it serves as a ready example bank when discussing AI regulation, facial recognition in policing, and equity in digital public services.
ASAT (Anti-Satellite) Weapon
- Definition: An anti-satellite (ASAT) weapon is a space-warfare system designed to disable, degrade, or destroy satellites in orbit, either physically (through kinetic impact or directed energy) or non-physically (through jamming, spoofing, or cyber-attack). India demonstrated a direct-ascent kinetic ASAT capability with Mission Shakti on 27 March 2019, becoming the fourth nation with proven ASAT capability after the United States, Russia, and China.
- Context: ASAT capability is a marker of advanced space and missile-defence technology, but kinetic-kill tests are controversial because they scatter long-lived orbital debris that threatens other satellites and crewed platforms such as the International Space Station. India's Mission Shakti, executed by the DRDO and announced by the Prime Minister, used a Prithvi Defence Vehicle Mark-II interceptor to destroy the indigenous Microsat-R satellite in low Earth orbit. The test triggered international debate on space debris and accelerated global efforts toward a moratorium on destructive direct-ascent ASAT testing.
- UPSC Relevance: This is a foundational science-and-technology topic that recurs in Prelims (defence and space technology, India's strategic programmes, current affairs) and in GS3 Mains under "achievements of Indians in science & technology" and "space technology" and "internal/external security through technology." In Prelims, examiners test factual recall — which agency conducted Mission Shakti (DRDO, not ISRO), the interceptor used, the target's orbit (LEO), and India's rank as the fourth ASAT nation. In Mains, the angle is analytical: the strategic rationale for ASAT capability versus the space-debris and space-sustainability costs, India's abstention on the 2022 UN moratorium, and the gaps in international space law (Outer Space Treaty, 1967). No direct PYQ is cited here; the concept underpins the broader question family on space technology, defence indigenisation, and the militarisation of outer space.
Large Language Models (LLMs)
- Definition: A Large Language Model (LLM) is a deep-learning neural network with billions of parameters, trained on vast text corpora, that uses the transformer architecture to understand and generate human-like language for tasks such as text generation, translation, summarisation and question-answering.
- Context: LLMs are built on the transformer architecture introduced in the 2017 Google paper "Attention Is All You Need" (Vaswani et al.), which replaced sequential recurrent networks with a parallelisable self-attention mechanism. This breakthrough enabled families of models such as Google's BERT and OpenAI's GPT series, and triggered the generative-AI wave after late 2022. For India, LLMs have become a sovereignty and self-reliance issue: most leading models are foreign-built and under-represent Indian languages and contexts, prompting indigenous efforts under the IndiaAI Mission (approved by the Union Cabinet on 7 March 2024 with a five-year outlay of Rs 10,372 crore).
- UPSC Relevance: This is a foundational science-and-technology concept that underpins UPSC questions on artificial intelligence, the Fourth Industrial Revolution, digital sovereignty and data governance. In Prelims, expect factual items on what LLMs/transformers are, generative AI, deepfakes and the IndiaAI Mission; in Mains GS3 (science & technology, internal security via misinformation) it links to indigenous AI capability, ethics, jobs and regulation, while GS2/GS4 angles cover AI governance and the ethics of misinformation. No direct PYQ exists for the exact term "LLMs" — treat it as a foundation concept that supports the broader AI/emerging-technology question family that UPSC has increasingly favoured.
IndiaAI Mission
- Pronunciation: /ˈɪndiə eɪˈaɪ ˈmɪʃən/
- Definition: India's flagship national programme for artificial intelligence, approved by the Union Cabinet on 7 March 2024 with an outlay of Rs 10,372 crore over 5 years, comprising seven pillars -- compute infrastructure (10,000+ GPUs), innovation centre, datasets platform, application development, FutureSkills (talent development), startup financing, and safe AI -- implemented by the IndiaAI Independent Business Division under Digital India Corporation, MeitY.
- Context: India's approach to AI differs from the EU's regulation-first model; the IndiaAI Mission prioritises building foundational infrastructure (compute, data, talent) to enable India's AI ecosystem, while governance relies on existing legal frameworks and voluntary principles rather than a dedicated AI law.
- UPSC Relevance: GS3 (Science & Technology, Economic Development). Prelims: budget (Rs 10,372 crore), approval date (March 2024), implementing body (MeitY/DIC). Mains: evaluate India's AI strategy in the context of global competition, the need for responsible AI, and the challenge of ensuring AI benefits reach all sections of society (#AIForAll).
EU AI Act
- Pronunciation: /ˌiː ˈjuː eɪˈaɪ ækt/
- Definition: The European Union's Artificial Intelligence Act, adopted in June 2024 and entered into force on 1 August 2024, establishing the world's first comprehensive, legally binding regulatory framework for AI based on a risk classification system -- prohibiting unacceptable-risk AI practices, imposing strict obligations on high-risk AI systems, requiring transparency for limited-risk systems, and leaving minimal-risk AI unregulated.
- Context: The EU AI Act serves as a global benchmark for AI regulation, similar to how GDPR set the standard for data protection; it has extraterritorial application -- any AI system affecting EU citizens must comply, regardless of where the developer is based; penalties reach up to EUR 35 million or 7% of global turnover.
- UPSC Relevance: GS3 (Science & Technology). Prelims: risk-based framework, 4 categories, entry into force (August 2024). Mains: compare India's light-touch approach with the EU's comprehensive regulation; discuss whether prescriptive AI legislation would help or hinder India's AI ambitions.
Sources: pib.gov.in (IndiaAI Mission, March 2024), NITI Aayog (Responsible AI #AIForAll, February 2021; August 2021), indiaai.gov.in, European Commission (EU AI Act, 2024), White House Archives (Executive Order 14110, October 2023), Cyberspace Administration of China (Generative AI Interim Measures, 2023), MeitY (IT Rules Amendment 2025 on deepfakes), Supreme Court of India (SUPACE), UNODA (LAWS GGE), UNGA Resolution 78/241 (December 2024)
