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Science and Technology Notes

Artificial Intelligence and Emerging Technologies Notes for UPSC

Komal Gupta

UPSC Exam Expert & Content Editor

Updated 17 Oct 2026

PDF Notes: Artificial Intelligence and Emerging Technologies Notes for UPSC

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Artificial Intelligence (AI) is the ability of a machine or computer program to do tasks that normally need human intelligence, such as understanding language, recognising faces, making decisions and learning from experience. Along with AI, technologies like blockchain, quantum computing, the Internet of Things, 5G, drones and semiconductors are changing the economy, governance and security. For the UPSC Civil Services Examination, these emerging technologies are very important because the Science and Technology paper and GS Paper 3 ask about them every year, often with a link to current news. This note explains the basics and the policy side in simple language.

What is Artificial Intelligence?

AI systems learn from data. Machine Learning (ML) is a part of AI in which a computer finds patterns in data and improves without being programmed step by step. Deep Learning is a part of ML that uses many-layered artificial neural networks inspired by the human brain, and it powers image recognition and speech tools. Natural Language Processing (NLP) helps machines understand human language. Generative AI creates new text, images, audio or code, and tools such as ChatGPT are built on Large Language Models (LLMs). Narrow AI does one task well and is the only type that exists today, while General AI (AGI) would match human ability in all areas and is still a goal for the future.

Applications of AI

In health, AI helps to read X-rays and detect diseases early. In agriculture, it advises farmers on weather, pests and prices, as in the Kisan e-Mitra chatbot and the AI-based crop yield tools. In governance, it improves service delivery, such as the Bhashini platform for translation in Indian languages and AI chatbots on government portals. In education, it provides personalised learning. In transport, it supports traffic management and self-driving research. In finance, it detects fraud and checks credit risk. In defence, it supports surveillance, drones and decision support. In disaster management, it improves forecasts for floods and cyclones.

Challenges and Risks of AI

RiskExplanation
Job lossAutomation may replace routine jobs; workers need reskilling
BiasIf the training data is unfair, AI decisions can be unfair against some groups
PrivacyAI needs huge data, and misuse can harm personal privacy
Deepfakes and misinformationFake videos and false news can cheat people and disturb elections
AccountabilityHard to know who is responsible when an AI system makes a mistake (the black box problem)
SecurityAutonomous weapons and cyber attacks raise safety worries

AI Policy in India

NITI Aayog released the National Strategy for AI in 2018 with the slogan "AI for All", focusing on health, agriculture, education, smart cities and transport. The IndiaAI Mission, approved in 2024, aims to build computing power (GPUs), support Indian AI models and start-ups, develop datasets and promote skills and safe AI. India hosted the Global Partnership on AI (GPAI) summit in 2023 and the AI Impact Summit in 2026. The Digital Personal Data Protection Act, 2023 protects personal data. At the global level, the EU adopted the AI Act, the first big law on AI, with a risk-based approach, and the UN has also taken steps toward AI governance. Principles for "Responsible AI" include fairness, transparency, accountability, safety and privacy.

Blockchain Technology

A blockchain is a shared digital ledger in which records (blocks) are linked in a chain and secured by cryptography. Once data is written, it is very hard to change, and no single authority controls it. This is called a decentralised and tamper-proof record. Uses include cryptocurrencies like Bitcoin, secure land records, supply-chain tracking, digital certificates and smart contracts, which are self-executing agreements. India's Central Bank Digital Currency (the digital rupee) and the National Blockchain Framework use related ideas. Concerns are energy use, price swings and misuse for money laundering, so India taxes virtual digital assets but has no full law yet.

Quantum Technology

Normal computers use bits that are either 0 or 1. Quantum computers use qubits, which can be in a combination of 0 and 1 through superposition, and can be linked through entanglement, which allows them to solve some problems much faster. Applications are drug discovery, new materials, optimisation and breaking present-day encryption (so new "quantum-safe" cryptography is needed). The National Quantum Mission, approved in 2023 with about 6,000 crore rupees, aims to build quantum computers with 50 to 1,000 qubits, secure quantum communication, sensing and materials over eight years.

Internet of Things, 5G and 6G

The Internet of Things (IoT) connects everyday devices such as sensors, meters and cameras to the internet so that they can collect and share data, enabling smart homes, smart farms and smart cities. 5G, launched in India in October 2022, offers very high speed, very low delay and the ability to connect many devices, which supports remote surgery, driverless vehicles and industrial automation. India has set up a vision for 6G by 2030 through the Bharat 6G Alliance. Other related technologies include edge computing, cloud computing, Big Data, augmented and virtual reality, 3D printing, robotics and drones, with the Drone Rules 2021 and the PLI scheme to support domestic production.

Semiconductors and Digital Public Infrastructure

A semiconductor chip is the brain of every phone, car and computer. India launched the India Semiconductor Mission in 2021 with about 76,000 crore rupees to attract chip fabrication and packaging plants, and new plants have been approved in Gujarat and Assam. India's Digital Public Infrastructure, known as the "India Stack", includes Aadhaar, UPI, DigiLocker and the Open Network for Digital Commerce (ONDC), and is a model that many countries want to learn from. This shows that India's strength is in building digital platforms for the public at low cost.

Way Forward and Answer-Writing Tip

A balanced Mains answer says that emerging technologies bring productivity and better services but also create risks for jobs, privacy and security. India should invest in skills, data and computing, support start-ups, create flexible and risk-based regulation instead of heavy bans, follow ethical principles, protect the vulnerable and cooperate internationally. Use a recent example, such as the IndiaAI Mission or UPI, to keep your answer practical.

AI and the Future of Work

The biggest worry of many families is jobs. History shows that every big technology, from the steam engine to the computer, destroyed some jobs and created new ones. AI is likely to do the same. Routine tasks like data entry, simple customer service and basic accounting may be automated, while new roles will appear in data science, AI safety, robotics maintenance and digital services. India has a young population and a large IT services sector, so it has both a risk and a chance. The risk is that low-skilled workers may be left behind. The chance is that a skilled workforce can serve the world. The answer lies in education reform, short-term skilling programmes such as the Skill India Mission, lifelong learning and a social safety net for workers who need to change careers. In Mains, show that technology is a tool whose effect depends on the policy choices of the society.

Ethics of AI: Questions UPSC May Ask

Ethical questions come up in both the Science and Technology and the Ethics papers. Should an AI system be allowed to decide who gets a loan or a job? Who is responsible when a self-driving car causes an accident, the maker, the owner or the programmer? How can we stop AI from copying the bias that exists in society? Should there be a human in the loop for important decisions in courts, hospitals and the police? Good answers refer to principles such as fairness, transparency, accountability, privacy and human oversight, give an Indian example and propose practical steps like audits, explainable AI, clear liability rules, public awareness and strong data protection.

Quick Revision

  • AI is a broad field; ML is a subset; deep learning is a subset of ML; generative AI creates new content.
  • IndiaAI Mission (2024); National Strategy for AI (2018, NITI Aayog); DPDP Act 2023.
  • Blockchain: decentralised ledger. Quantum: qubits, National Quantum Mission 2023.
  • 5G launched in 2022; India Semiconductor Mission 2021.

Emerging technology topics change every month, so keep this base and add the latest news. Know the definition, one use, one risk and one government scheme for each technology, and you will be able to write a crisp answer for any question on the topic.

Continue your preparation with these related notes from the same subject:

Frequently Asked Questions (FAQ)

What is Artificial Intelligence?

AI is the ability of machines to perform tasks that normally require human intelligence, such as learning, reasoning, understanding language and making decisions.

What is the difference between AI, ML and deep learning?

AI is the broad idea of intelligent machines. Machine learning is a part of AI in which machines learn from data. Deep learning is a part of ML that uses multi-layered neural networks.

What is generative AI?

Generative AI is a type of AI that creates new content such as text, images, audio and code, using models trained on large amounts of data.

What is the IndiaAI Mission?

It is a government mission approved in 2024 to build AI computing capacity, datasets, indigenous models, start-up support and skills in India.

What is blockchain?

Blockchain is a decentralised digital ledger in which records are stored in linked blocks secured by cryptography, making them hard to change.

What is a qubit?

A qubit is the basic unit of quantum information. Unlike a normal bit, it can exist in a combination of 0 and 1 at the same time through superposition.

What is the National Quantum Mission?

It is a mission approved in 2023 to develop quantum computing, communication, sensing and materials in India over eight years.

What is the Internet of Things?

IoT is a network of physical devices with sensors and software that collect and exchange data over the internet.

What are the benefits of 5G?

5G offers very high speed, very low latency and the ability to connect a huge number of devices, helping areas like telemedicine and automation.

What are deepfakes?

Deepfakes are fake but realistic-looking videos, images or audio created using AI. They can be misused for fraud and misinformation.

What is the India Semiconductor Mission?

It is a programme launched in 2021 to build a strong semiconductor and display manufacturing ecosystem in India with financial support for new plants.

What is the black box problem in AI?

It means that the way a complex AI model reaches its decision is not easy for humans to understand or explain, making accountability difficult.

About the Author

Komal Gupta

UPSC Exam Expert & Content Editor

Komal is a senior UPSC exam strategist with 8+ years of experience helping aspirants crack CSE, CDS and NDA exams. She writes in-depth notification breakdowns, exam pattern guides and preparation strategies.