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India’s National Strategy for Artificial Intelligence, with the slogan “AI for All”, was released by which body?

  1. A.Ministry of Electronics and Information Technology
  2. B.NITI Aayog
  3. C.Reserve Bank of India
  4. D.University Grants Commission

Correct answer

B. NITI Aayog

Explanation

The correct answer is B, NITI Aayog, which published the National Strategy for Artificial Intelligence in June 2018 under the slogan AI for All, and identified five priority sectors: healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation. Option A is wrong, though it is the closest distractor, because the Ministry of Electronics and Information Technology runs the IndiaAI Mission approved in 2024 but did not write the 2018 strategy paper. Option C is wrong because the Reserve Bank of India is the central bank and its work on technology concerns payments, digital lending and the digital rupee, not a national AI strategy. Option D is wrong because the University Grants Commission regulates higher education and frames curricula; it does not issue national technology strategies. Pair the year with the body: 2018 with NITI Aayog, 2024 with MeitY.

Read the full article: Artificial Intelligence and the IndiaAI Mission: Exam Notes

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Q1.Science & TechnologyEasy

Who coined the term “artificial intelligence”?

  1. A.Alan Turing
  2. B.John McCarthy
  3. C.Marvin Minsky
  4. D.Joseph Weizenbaum
Show answer

Correct answer: B. John McCarthy

Explanation

The correct answer is B, John McCarthy. He coined the phrase artificial intelligence in the proposal for a summer research workshop held at Dartmouth College in 1956, and that conference is treated as the moment the subject was founded; McCarthy also created the LISP programming language and is commonly called the father of artificial intelligence. Option A is wrong because Alan Turing, though he asked whether machines can think and gave the Turing Test in 1950, never used the phrase itself; the field was named six years after his paper. Option C is wrong because Marvin Minsky, a major figure who attended the same Dartmouth meeting and later founded the MIT AI laboratory, did not coin the term. Option D is wrong because Joseph Weizenbaum is remembered for ELIZA, the first conversational program, written in the mid-1960s.

Q2.Science & TechnologyMedium

The Turing Test was proposed in a paper published in which year?

  1. A.1936
  2. B.1943
  3. C.1950
  4. D.1956
Show answer

Correct answer: C. 1950

Explanation

The correct answer is C, 1950. Alan Turing set out the imitation game in his paper Computing Machinery and Intelligence, published in 1950 in the journal Mind; a machine passes if a human judge, exchanging only typed messages, cannot tell it from a human being. Option A is wrong because 1936 is the year of Turing’s earlier and quite different paper on computable numbers, which described the theoretical Turing machine, the foundation of computability rather than a test for intelligence. Option B is wrong because 1943 is associated with the McCulloch and Pitts model of an artificial neuron, the first mathematical model of a neural network. Option D is wrong because 1956 is the year of the Dartmouth Conference, where the term artificial intelligence was coined. Examiners pair 1950 with the test and 1956 with the name, so keep the two dates apart.

Q3.Science & TechnologyEasy

Which type of machine learning is trained on labelled data?

  1. A.Unsupervised learning
  2. B.Reinforcement learning
  3. C.Supervised learning
  4. D.Transfer learning
Show answer

Correct answer: C. Supervised learning

Explanation

The correct answer is C, supervised learning. Here every training example carries the right answer, its label, and the model learns the mapping from input to label, which is how spam filters, handwriting readers and credit-scoring models are built. Option A is wrong because unsupervised learning is given data without labels and must find structure by itself, typically clustering or dimensionality reduction; customer segmentation is the standard example. Option B is wrong because reinforcement learning has neither labels nor fixed answers: an agent acts in an environment and learns from rewards and penalties, the method behind game-playing programs and robot control. Option D is wrong because transfer learning is not a third style of its own but a technique of reusing a model trained on one task as the starting point for another. Remember the pairing: labels mean supervised, no labels mean unsupervised, rewards mean reinforcement.

Q4.Science & TechnologyMedium

The IndiaAI Mission was approved by the Union Cabinet with a budget outlay of about:

  1. A.Rs 10,372 crore
  2. B.Rs 76,000 crore
  3. C.Rs 1,500 crore
  4. D.Rs 25,000 crore
Show answer

Correct answer: A. Rs 10,372 crore

Explanation

The correct answer is A, about Rs 10,372 crore. The Union Cabinet approved the IndiaAI Mission on 7 March 2024 with an outlay of 10,371.92 crore rupees, to be spent across its seven components, and the mission is run by the IndiaAI Independent Business Division under the Digital India Corporation in the Ministry of Electronics and Information Technology. Option B is wrong because 76,000 crore rupees is the outlay of the Semicon India programme for semiconductor and display manufacturing, approved in December 2021, a figure examiners deliberately place beside this one. Option C is wrong because 1,500 crore rupees is far too small for a mission that has to buy or hire tens of thousands of GPUs. Option D is wrong because 25,000 crore rupees matches no approved outlay for this mission. Learn the pair: IndiaAI about 10,372 crore, Semicon India 76,000 crore.

Q5.Science & TechnologyHard

How many components, or pillars, does the IndiaAI Mission have as approved by the Cabinet?

  1. A.Five
  2. B.Six
  3. C.Seven
  4. D.Nine
Show answer

Correct answer: C. Seven

Explanation

The correct answer is C, seven. The approved mission has seven components: IndiaAI Compute Capacity, the IndiaAI Innovation Centre, the IndiaAI Datasets Platform, the IndiaAI Application Development Initiative, IndiaAI FutureSkills, IndiaAI Startup Financing, and Safe and Trusted AI. Option A is wrong, and five is a tempting answer because NITI Aayog’s National Strategy for Artificial Intelligence of 2018 named five focus sectors, namely healthcare, agriculture, education, smart cities and infrastructure, and smart mobility; that five belongs to the strategy, not to the mission. Option B is wrong because six leaves one pillar out, usually Safe and Trusted AI, which is the one most often asked about separately. Option D is wrong because nine matches no official list. The safe way to remember it is compute, models, data, applications, skills, money and safety, which is exactly seven.