Artificial artists reading answers

The artificial artists: Can computers really create artworks? is an important IELTS reading practice passage. Artificial artists reading answers for the Cambridge 13, Academic reading test 1 Passage 3 is given in the article. You will be reading the passage, understanding the context, and answering the three distinct types of questions. We have given the top solutions and explanations for the passage.

Solution for artificial artists reading passage

Artificial artists reading answer key: Solution for Cambridge 13 reading test 1 Passage 3
27. B	31. A	35. C	39. Not given
28. C	32. D	36. G	40. No
29. C	33. A	37. B
30. D	34. E	38. Yes

Verify your answers for the questions (27-40) for this academic reading passage with the help of the Artificial artists reading answers with explanation. The explanations will guide you in getting accustomed with the IELTS reading question types. The following question types are used in the Artificial artists reading passage. 

• IELTS reading multiple choice questions
• IELTS reading matching sentence endings
• IELTS reading yes no not given questions

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IELTS reading multiple choice questions

This is one of the most frequently appearing question types in the IELTS reading. In the IELTS multiple choice questions you will be given a question and asked to choose the answer from the 3-4 alternatives provided. To identify the artificial artists reading answers for the MCQ you must have the skimming, scanning, and comprehension reading skills. 

You can know more about the IELTS reading multiple choice questions here. 

IELTS reading matching sentence endings

This question type holds on to a special place in the IELTS reading test as it is commonly used. Here you will be given an incomplete sentence and asked to complete the sentence with the ideas given in the list. The matching must be done as per the reading passage. While writing the answers in the answer sheet, you must be careful with the alphabets indicating the answer. 

You can know more about the IELTS reading matching sentence endings here 

IELTS reading yes no not given questions

The easiest at the same time the trickiest question types in the IELTS reading test is yes no not given question. You must have a clear understanding of the question type and differentiate between the three answers while deciding the artificial artists reading answers. Always remember, each answer will be present at least once, if not you have to recheck the answers. 

You can know more about the IELTS reading yes no not given questions here

Significance of the reading passage : “Artificial artists: Can computers really create artwork”

Take a look at the important points about the Cambridge 13 academic reading test 1 Passage 3 before trying to solve the answers. The Artificial artists reading answers with explanations is given to guide you in your preparation. 

• The reading passage talks about the involvement of the computers in creating new forms of arts, its advantages and its process. 
• The artificial artists reading answers with location are given to support you in locating the answers location inside the passage.
• The artificial artists reading answers with explanations, can definitely be used to prepare for the IELTS reading test. Each question and the answers are explained clearly for your reference.
• You can also find the artificial artists reading pdf in a download format. You can use this to test your reading comprehension skills in the future. 
• Being a Cambridge 13,AC reading test 1 Passage 3, you must know to locate the keywords, signpost, etc. Thus you can use our artificial artists reading answers with location.
• The other passages in the Cambridge 13, AC reading test 1 are Case Study: New zealand tourism website reading answers and Why being bold is stimulating and useful too

These IELTS reading tips will be guiding you in finding the correct Artificial artists reading answers 

IELTS reading passage: “Artificial artists: Can computers really create artwork”

Read the given passage carefully and answer the questions (27-40) with solutions identified from the passage. You must complete the test within 20 minutes. At the end of the test, you can verify your answers with the Artificial artists reading answers with explanations given below. This answer key must be verified only after the completion of the test.

Reading passage 3

You must spend 20 minutes to complete answering the questions (27-40) based on the academic reading passage 3

Artificial artists

Can computers really create works of art?

The Painting Fool is one of a growing number of computer programs which, so their makers claim, possess creative talents. Classical music by an artificial composer has had audiences enraptured, and even tricked them into believing a human was behind the score. Artworks painted by a robot have sold for thousands of dollars and been hung in prestigious galleries. And software has been built which creates are that could not have been imagined by the programmer.

Human beings are the only species to perform sophisticated creative acts regularly. If we can break this process down into computer code, where does that leave human creativity? ‘This is a question at the very core of humanity,’ says Geraint Wiggins, a computational creativity researcher at Goldsmiths, University of London. ‘It scares a lot of people. They are worried that it is taking something special away from what it means to be human.’

To some extent, we are all familiar with computerised art. The question is: where does the work of the artists stop and the creativity of the computer begin? Consider one of the oldest machine artists, Aaron, a robot that has had paintings exhibited in London’s Tate Modern and the San Francisco Museum of Modern Art. Aaron can pick up a paintbrush and paint on canvas on its own. Impressive perhaps, but it is still little more than a tool to realise the programmer’s own creative ideas.

Simon Colton, the designer of the Painting Fool, is keen to make sure his creation doesn’t attract the same criticism. Unlike earlier ‘artists’ such as Aaron, the Painting Fool only needs minimal direction and can come up with its own concepts by going online for material. The software runs its own web searches and trawls through social media sites. It is now beginning to display a kind of imagination too, creating pictures from scratch. One of its original works is a series of fuzzy landscapes, depicting trees and sky. While some might say they have a mechanical look, Colton argues that such reactions arise from people’s double standards towards software-produced and human-produced art. After all, he says, consider that the Painting Fool painted the landscapes without referring to a photo. ‘If a child painted a new scene from its head, you’d say it has a certain level of imagination,’ he points out. ‘The same should be true of a machine.’ Software bugs can also lead to unexpected results. Some of the Painting Fool’s paintings of a chair came out in black and white, thanks to a technical glitch. This gives the work an eerie, ghostlike quality. Human artists like the renowned Ellsworth Kelly are lauded for limiting their colour palette – so why should computers be any different?

Researchers like Colton don’t believe it is right to measure machine creativity directly to that of humans who ‘have had millennia to develop our skills’. Others, though, are fascinated by the prospect that a computer might create something as original and subtle as our best artists. So far, only one has come close. Composer David Cope invented a program called Experiments in Musical Intelligence, or EMI. Not only did EMI create compositions in Cope’s style, but also that of the most revered classical composers, including Bach, Chopin and Mozart. Audiences were moved to tears, and EMI even fooled classical music experts into thinking they were hearing genuine Bach. Not everyone was impressed however. Some, such as Wiggins, have blasted Cope’s work as pseudoscience, and condemned him for his deliberately vague explanation of how the software worked. Meanwhile, Douglas Hofstadter of Indiana University said EMI created replicas which still rely completely on the original artist's creative impulses. When audiences found out the truth they were often outraged with Cope, and one music lover even tried to punch him. Amid such controversy, Cope destroyed EMI’s vital databases.

But why did so many people love the music, yet recoil when the discovered how it was composed? A study by computer scientist David Moffat of Glasgow Caledonian University provides a clue. He asked both expert musicians and non-experts to assess six compositions. The participants weren’t told beforehand whether the tunes were composed by humans or computers, but were asked to guess, and then rate how much they liked each one. People who thought the composer was a computer tended to dislike the piece more than those who believed it was human. This was true even among the experts, who might have been expected to be more objective in their analyses.

Where does this prejudice come from? Paul Bloom of Yale University has a suggestion: he reckons part of the pleasure we get from art stems from the creative process behind the work. This can give it an ‘irresistible essence’, says Bloom. Meanwhile, experiments by Justin Kruger of New York University have shown that people’s enjoyment of an artwork increases if they think more time and effort was needed to create it. Similarly, Colton thinks that when people experience art, they wonder what the artists might have been thinking or what the artist is trying to tell them. It seems obvious, therefore, that with computers producing art, this speculation is cut short – there’s nothing to explore. But as technology becomes increasingly complex, finding those greater depths in computer art could become possible. This is precisely why Colton asks the Painting Fool to tap into online social networks for its inspiration: hopefully this way it will choose themes that will already be meaningful to us.

Artificial artists IELTS reading questions

Questions 27-31 - Artificial artists reading

Choose the correct letter, A, B, C or D.

Write the correct letter in boxes 27-31 on your answer sheet.

27   What is the writer suggesting about computer-produced works in the first paragraph?

A   People’s acceptance of them can vary considerably.

B   A great deal of progress has already been attained in this field.

C   They have had more success in some artistic genres than in others.

D   the advances are not as significant as the public believes them to be.

28   According to Geraint Wiggins, why are many people worried by computer art?

A   It is aesthetically inferior to human art.

B   It may ultimately supersede human art.

C   It undermines a fundamental human quality.

D   It will lead to a deterioration in human ability.

29   What is a key difference between Aaron and the Painting Fool?

A   its programmer’s background

B   public response to its work

C   the source of its subject matter

D   the technical standard of its output

30   What point does Simon Colton make in the fourth paragraph?

A   Software-produced art is often dismissed as childish and simplistic.

B   The same concepts of creativity should not be applied to all forms of art.

C   It is unreasonable to expect a machine to be as imaginative as a human being.

D   People tend to judge computer art and human art according to different criteria.

31   The writer refers to the paintings of a chair as an example of computer art which

A   achieves a particularly striking effect.

B   exhibits a certain level of genuine artistic skill.

C   closely resembles that of a well-known artists.

D   highlights the technical limitations of the software.

Check out IELTS Reading Multiple Choice Questions to tackle question types well

Questions 32-37- artificial artists reading

Complete each sentence with the correct ending, A-G below.

Write the correct letter, A-G, in boxes 32-37 on your answer sheet.

32   Simon Colton says it is important to consider the long-term view then

33   David Cope’s EMI software surprised people by

34   Geraint Wiggins criticized Cope for not

35   Douglas Hofstadter claimed that EMI was

36   Audiences who had listened to EMI’s music became angry after

37   The participants in David Moffat’s study had to assess music without

List of Ideas

A     generating work that was virtually indistinguishable from that of humans.

B     knowing whether it was the work of humans or software.

C     producing work entirely dependent on the imagination of its creator.

D     comparing the artistic achievements of humans and computers.

E     revealing the technical details of his program.

F     persuading the public to appreciate computer art.

G    discovering that it was the product of a computer program

Check out IELTS Reading Matching Features

Questions 38-40- artificial artists reading

Do the following statements agree with the claims of the writer in Reading Passage 3?

In boxes 38-40 on your answer sheet, write

YES                  if the statement agrees with the claims of the writer

NO                   if the statement contradicts the claims of the writer

NOT GIVEN    if it is impossible to say what the writer thinks about this

38   Moffat’s research may help explain people’s reactions to EMI.

39   The non-experts in Moffat’s study all responded in a predictable way.

40   Justin Kruger’s findings cast doubt on Paul Bloom’s theory about people’s prejudice towards computer art.

Read out IELTS Reading Yes No Not Given to perform well in the question type

Artificial artists reading answers with explanation

Once you have completed your test, you can verify your answers here. We have given the artificial artists reading answers with explanations to aid you in identifying your answering skills and reading skills. 

27. Answer: B

Answer location: Paragraph 1, line 1

Keywords used: computer products works, growing number

Answer explanation : The Painting Fool is one of a growing number of computer programs which, so their makers claim, possess creative talents. Classical music by an artificial composer has had audiences enraptured, and even tricked them into believing a human was behind the score.

28. Answer: C 

Answer location: Paragraph 2 line 5

Keywords used: Geriant wiggins, worried by computer art

Answer explanation : If we can break this process down into computer code, where does that leave human creativity? ‘This is a question at the very core of humanity,’ says Geraint Wiggins, a computational creativity researcher at Goldsmiths, University of London. ‘It scares a lot of people. They are worried that it is taking something special away from what it means to be human.’

29. Answer: C

Answer location: Paragraph 4, lines 2-5

Keywords used: Key difference, Aaron, Painting tool

Answer explanation : Unlike earlier ‘artists’ such as Aaron, the Painting Fool only needs minimal direction and can come up with its own concepts by going online for material. The software runs its own web searches and trawls through social media sites. It is now beginning to display a kind of imagination too, creating pictures from scratch.

30. Answer: D

Answer location: Paragraph 4, line 7-8

Keywords used: fourth paragraph, Simon Colton

Answer explanation : Colton argues that such reactions arise from people’s double standards towards software-produced and human-produced art. After all, he says, consider that the Painting Fool painted the landscapes without referring to a photo. 

31. Answer: A

Answer location: Paragraph 4, line 12-14

Keywords used: paintings of a chair

Answer explanation : Some of the Painting Fool’s paintings of a chair came out in black and white, thanks to a technical glitch. This gives the work an eerie, ghostlike quality. Human artists like the renowned Ellsworth Kelly are lauded for limiting their colour palette – so why should computers be any different?

32. Answer: D

Answer location: Paragraph 5, line 1

Keywords used: Simon Colton, long term view, 

Answer explanation : Researchers like Colton don’t believe it is right to measure machine creativity directly to that of humans who ‘have had millennia to develop our skills’. Others, though, are fascinated by the prospect that a computer might create something as original and subtle as our best artists. So far, only one has come close.

33. Answer: A

Answer location: Paragraph 5, lines 7-8

Keywords used: David Cope’s EMI, surprised people

Answer explanation : So far, only one has come close. Composer David Cope invented a program called Experiments in Musical Intelligence, or EMI. Not only did EMI create compositions in Cope’s style, but also that of the most revered classical composers, including Bach, Chopin and Mozart. 

34. Answer: E

Answer location: Paragraph 5, lines 9-11

Keywords used: Geriand Wriggins, criticised, Cope

Answer explanation : Some, such as Wiggins, have blasted Cope’s work as pseudoscience, and condemned him for his deliberately vague explanation of how the software worked. Meanwhile, Douglas Hofstadter of Indiana University said EMI created replicas which still rely completely on the original artist's creative impulses.

35. Answer: C

Answer location: Paragraph 5, line 11-3

Keywords used: Douglas, claimed EMI

Answer explanation :  Meanwhile, Douglas Hofstadter of Indiana University said EMI created replicas which still rely completely on the original artist's creative impulses. When audiences found out the truth they were often outraged with Cope, and one music lover even tried to punch him.

36. Answer: G

Answer location: Paragraph 5, lines 13-14

Keywords used: Audiences, listed, EMI’s music, angry

Answer explanation : When audiences found out the truth they were often outraged with Cope, and one music lover even tried to punch him. Amid such controversy, Cope destroyed EMI’s vital databases.

37. Answer: B

Answer location: Paragraph 6, line 2

Keywords used: participants, David Moffats study, assess music

Answer explanation : A study by computer scientist David Moffat of Glasgow Caledonian University provides a clue. He asked both expert musicians and non-experts to assess six compositions. The participants weren’t told beforehand whether the tunes were… 

38. Answer: Yes

Answer location: Paragraph 6, first half

Keywords used: Moffat’s research, help, explain, EMI

Answer explanation : But why did so many people love the music, yet recoil when the discovered how it was composed? A study by computer scientist David Moffat of Glasgow Caledonian University provides a clue. He asked both expert musicians and non-experts to assess six compositions. The participants weren’t told beforehand whether 

39. Answer: Not given

Answer location: not given

Keywords used: Moffat’s study, all responded, non experts, predictable way

Answer explanation : no references are given about the particular statement. 

40. Answer: No

Answer location: Paragraph 7, line 1

Keywords used: Justin Kruger’s finding, cast doubt, Paul Bloom’s theory 

Answer explanation : Where does this prejudice come from? Paul Bloom of Yale University has a suggestion: he reckons part of the pleasure we get from art stems from the creative process behind the work. This can give it an ‘irresistible essence’, says Bloom. Meanwhile, experiments by Justin Kruger of New York University have shown that people’s enjoyment of an artwork increases if they think more time and effort was needed to create it.

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Summary

Practice this reading passage to enhance your reading skills and to improve your IELTS score. Experts believe solving these “Artificial artists reading answers” will be helping you in finding the answers quickly in your actual IELTS reading test.