The Robots are Coming IELTS Academic Reading Sample With Explanation
IELTS Academic Reading passage samples will help in preparing well for the examination. IELTS academic reading sample answers contain a wide range of topics found in the actual IELTS test. The Robots are Coming is an Academic reading sample passage. This IELTS academic reading sample contains:
- Identifying Information
- Matching Statement
- Summary completion
Refer to IELTS reading practice papers to practice more samples and prepare well for this section.
This IELTS academic reading article, The robots are coming talks about artificial intelligence. it is believed that robots can be a serious threat to our society. Eminent scientists are working vigorously for the development of robots. Machine learning and AI uses have increased so much that scientists are quite optimistic about their uses in the near future.
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Section 1
Read the Passage to Answer the Following Questions
The Robots are Coming IELTS Academic Reading Sample
What is the current state of play in Artificial Intelligence?
- Can robots advance so far that they become the ultimate threat to our existence? Some scientists say no, and dismiss the very idea of Artificial Intelligence. The human brain, they argue, is the most complicated system ever created, and any machine designed to reproduce human thought is bound to fail. Physicist Roger Penrose of Oxford University and others believe that machines are physically incapable of human thought. Colin McGinn of Rutgers University backs this up when he says that Artificial Intelligence ‘is like sheep trying to do complicated psychoanalysis. They just don’t have the conceptual equipment they need in their limited brains’.
- Artificial Intelligence, or Al, is different from most technologies in that scientists still understand very little about how intelligence works. Physicists have a good understanding of Newtonian mechanics and the quantum theory of atoms and molecules, whereas the basic laws of intelligence remain a mystery. But a sizable number of mathematicians and computer scientists, who are specialists in the area, are optimistic about the possibilities. To them, it is only a matter of time before a thinking machine walks out of the laboratory. Over the years, various problems have impeded all efforts to create robots. To attack these difficulties, researchers tried to use the ‘top-down approach’, using a computer in an attempt to program all the essential rules onto a single disc. By inserting this into a machine, it would then become self-aware and attain human-like intelligence.
- In the 1950s and 1960s, great progress was made, but the shortcomings of these prototype robots soon became clear. They were huge and took hours to navigate across a room. Meanwhile, a fruit fly, with a brain containing only a fraction of the computing power, can effortlessly navigate in three dimensions. Our brains, like the fruit fly’s, unconsciously recognize what we see by performing countless calculations. This unconscious awareness of patterns is exactly what computers are missing. The second problem is the robots’ lack of common sense. Humans know that water is wet and that mothers are older than their daughters. But there is no mathematics that can express these truths. Children learn the intuitive laws of biology and physics by interacting with the real world. Robots know only what has been programmed into them.
- Because of the limitations of the top-down approach to Artificial Intelligence, attempts have been made to use a ‘bottom-up’ approach instead – that is, to try to imitate evolution and the way a baby learns. Rodney Brooks was the director of MIT’s Artificial Intelligence Laboratory, famous for its lumbering ‘top-down’ walking robots. He changed the course of research when he explored the unorthodox idea of tiny ‘insectoid’ robots that learned to walk by bumping into things instead of computing mathematically the precise position of their feet. Today many of the descendants of Brooks’ insectoid robots are on Mars gathering data for NASA (The National Aeronautics and Space Administration), running across the dusty landscape of the planet. For all their successes in mimicking the behaviour of insects, however, robots using neural networks have performed miserably when their programmers have tried to duplicate in them the behaviour of higher organisms such as mammals. MIT’s Marvin Minsky summarises the problems of Al: ‘The history of Al is sort of funny because the first real accomplishments were beautiful things, like a machine that could do well in a maths course. But then we started to try to make machines that could answer questions about simple children’s stories. There’s no machine today that can do that.’
- There are people who believe that eventually there will be a combination between the top-down and bottom-up, which may provide the key to Artificial Intelligence. As adults, we blend the two approaches. It has been suggested that our emotions represent the quality that most distinguishes us as human, that it is impossible for machines ever to have emotions. Computer expert Hans Moravec thinks that in the future robots will be programmed with emotions such as fear to protect themselves so that they can signal to humans when their batteries are running low, for example. Emotions are vital in decision-making. People who have suffered a certain kind of brain injury lose the ability to experience emotions and become unable to make decisions. Without emotions to guide them, they debate endlessly over their options. Moravec points out that as robots become more intelligent and are able to make choices, they could likewise become paralysed with indecision. To aid them, robots of the future might need to have emotions hardwired into their brains.
- There is no universal consensus as to whether machines can be conscious, or even, in human terms, what consciousness means. Minsky suggests the thinking process in our brain is not localised but spread out, with different centres competing with one another at any given time. Consciousness may then be viewed as a sequence of thoughts and images issuing from these different, smaller ‘minds’, each one competing for our attention. Robots might eventually attain a ‘silicon consciousness’. Robots, in fact, might one day embody an architecture for thinking and processing information that is different from ours-but also indistinguishable. If that happens, the question of whether they really ‘understand’ becomes largely irrelevant. A robot that has perfect mastery of syntax, for all practical purposes, understands what is being said.
Section 2
Solution and Explanation
Questions 1-7
Reading Passage has six paragraphs A-F. Which paragraph contains the following information?
Write the correct letter A-F in boxes 1-7on your answer sheet.
NB. You may use any letter more than once.
1) An insect that proves the superiority of natural intelligence over Artificial Intelligence
2) Robots being able to benefit from their mistakes
3) Many researchers are not being put off believing that Artificial Intelligence will eventually be developed
4) An innovative approach that is having limited success
5) The possibility of creating Artificial Intelligence being doubted by some academics
6) No generally accepted agreement of what our brains do
7) Robots not being able to extend the* intelligence in the same way as humans
Question 1.
Answer: Paragraph C
Supporting sentence: In the 1950s and 1960s great progress was made, but the shortcomings of these prototype robots soon became clear. They were huge and took hours to navigate across a room. Meanwhile, a fruit fly, with a brain containing only a fraction of the computing power, can effortlessly navigate in three dimensions.
Keywords: fruit fly, computing, brain
Keyword Location: Paragraph C 3rd line
Explanation: This is the right answer because a fruit fly can see in three dimensions in a matter of seconds, but robots take hours to navigate across a room, demonstrating the superiority of natural intelligence over artificial intelligence.
Read More IELTS Reading Related Samples
Question 2.
Answer: Paragraph D
Supporting Sentence: Rodney Brooks was the director of MIT’s Artificial Intelligence Laboratory, famous for its lumbering ‘top- down’ walking robots. He changed the course of research when he explored the unorthodox idea of tiny ‘insectoid’ robots that learned to walk by bumping into things instead of computing mathematically the precise position of their feet.
Keywords: bumping, insectoid, robots
Keyword Location: Para D 6th line
Explanation: Because the top-down approach to artificial intelligence was restricted, Rodney Brooks decided to investigate the notion of small 'insectoid' robots that learned to walk as they bumped into things rather than mathematically computing the precise foot location. Hence the answer is correct
Question 3.
Answer: Paragraph B
Supporting Sentence: Artificial Intelligence, or Al, is different from most technologies in that scientists still understand very little about how intelligence works.
Keywords: artificial intelligence, scientists, how understand
Keyword Location: Para B 1st line
Explanation: The answer is justified as artificial intelligence is an emerging technology and many researchers are not able to grasp how they can exactly work with that and so they thought there are not too many possibilities of development in artificial intelligence.
Question 4.
Answer: Paragraph D
Supporting Sentence: Rodney Brooks was the director of MIT’s Artificial Intelligence Laboratory, famous for its lumbering ‘top- down’ walking robots. He changed the course of research when he explored the unorthodox idea of tiny ‘insectoid’ robots that learned to walk by bumping into things instead of computing mathematically the precise position of their feet.
Keywords: unorthodox, idea, research
Keyword Location: Para D 5th line
Explanation: The answer is justified as the concept of tiny “insectoid” robots is an innovative approach that helps the robots to learn to walk by bumping into things instead of computing mathematically the precise position of their feet and many of the descendants of Brooks’ insectoid robots are also on Mars gathering data for NASA. But the innovation earned limited success, as mathematical computation took over.
Question 5.
Answer: Paragraph A
Supporting Sentence: The human brain, they argue, is the most complicated system ever created, and any machine designed to reproduce human thought is bound to fail. Physicist Roger Penrose of Oxford University and others believe that machines are physically incapable of human thought. Colin McGinn of Rutgers University backs this up when he says that Artificial Intelligence ‘is like sheep trying to do complicated psychoanalysis.
Keywords: fail, machines, incapable, human, thought
Keyword Location: Para A 2nd and 4th line
Explanation: The answer is correct because many researchers believed that there is no scope for artificial intelligence and they are bound to fail since nothing is more complicated than the human mind and robots can never have the same cognitive process that people have.
Question 6.
Answer: Paragraph F
Supporting Sentence: There is no universal consensus as to whether machines can be conscious, or even, in human terms, what consciousness means.
Keywords: consensus,universal,machine,human.conscious
Keyword Location: Para F 1st line
Explanation: The answer is correct as it says that there is no universal consensus that can describe what consciousness implies in terms of the human brain.
Question 7.
Answer: Paragraph C
Supporting Sentence: Our brains, like the fruit fly’s, unconsciously recognize what we see by performing countless calculations. This unconscious awareness of patterns is exactly what computers are missing. The second problem is robots’ lack of common sense.
Keywords: brain, recognize, missing, computers
Keyword Location: Para C 1st and 3rd line
Explanation: The answer is correct as it states that awareness of patterns that the human mind calculates is missing in computers. Moreover, machines lack common sense too and only know what has been programmed into them.
Questions 8-10
Look at the following people (Questions 8-10) and the list of statements below. Match each person with the correct statement A-E
Write the correct letter A-E in boxes 8-10 on your answer sheet.
8) Colin McGinn
9) Marvin Minsky
10) Hans Moravec
- Artificial Intelligence may require something equivalent to feelings in order to succeed.
- Different kinds of people use different parts of the brain.
- Tests involving fiction have defeated Artificial Intelligence so far.
- People have intellectual capacities which do not exist in computers.
- People have no reason to be frightened of robots.
Question 8.
Answer: D
Supporting Sentence: Colin McGinn of Rutgers University backs this up when he says that Artificial Intelligence ‘is like sheep trying to do complicated psychoanalysis.
Keywords: backs, complicated psychoanalysis
Keyword Location: Paragraph A 6th line
Explanation: In paragraph A it is mentioned by Colin that Artificial intelligence is like a sheep trying to perform complicated psychoanalysis.
Question 9.
Answer: C
Supporting Sentence: But then we started to try to make machines that could answer questions about simple children’s stories. There’s no machine today that can do that.’
Keywords: simple, stories
Keyword Location: Paragraph D, 12th line
Explanation: Marvin summarizes the problem of Artificial intelligence in this section of paragraph D. He finds it funny that now people have started to try to make machines that could answer questions about simple children’s stories.
Question 10.
Answer: A
Supporting Sentence: such as fear to protect themselves so that they can signal to humans when their batteries are running low, for example. Emotions are vital in decision-making.
Keywords: Signal, batteries
Keyword Location: Para E, 5th line
Explanation: Hans Moravec believes that emotions are very important in decision making and to succeed in the field of Al, robots of the future might need to have emotions hardwired into their brains.
Questions 11-13
Complete the summary below. Choose ONE WORD ONLY from the passage for each answer. Write your answers in boxes 11-13 on your answer sheet.
When will we have a thinking machine?
Despite some advances, the early robots had certain weaknesses. They were given the information they needed on a 11) …………… This was known as the ‘top-down approach and enabled them to do certain tasks but they were unable to recognize 12) ………………. Nor did they have any intuition or ability to make decisions based on experience. Rodney Brooks tried a different approach. Robots similar to those invented by Brooks are to be found on 13) ………………. where they are collecting information.
Question 11.
Answer: Disc
Supporting Sentence: using a computer in an attempt to program all the essential rules onto a single disc.
Keywords: essential, disc
Keyword Location: Paragraph B, last 2-3 lines
Explanation: Paragraph B explains how far Al has come. After numerous ideas, failures and innovations now it is almost possible to make machines work like humans.
Question 12.
Answer: Patterns
Supporting Sentence: This unconscious awareness of patterns is exactly what computers are missing.
Keywords: unconscious, patterns
Keyword Location: Paragraph C line 5th
Explanation: This paragraph explains that the first problem that computers are missing is the accuracy and unconscious awareness of patterns.
Question 13.
Answer: Mars
Supporting Sentence: Today many of the descendants of Brooks’ insectoid robots are on Mars gathering data for NASA (The National Aeronautics and Space Administration), running across the dusty landscape of the planet.
Keywords: insectoid robots, Mars, NASA
Keyword Location: Paragraph D line 6-7
Explanation: This paragraph tells about how Rodney Brooks changed the course of research when he explored the unorthodox idea of tiny ‘insectoid’ robots.
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