Cambridge IELTS 16, Test 4, Reading Passage 3

    Attitudes towards Artificial Intelligence: reading answers and analysis

    AI usually predicts better than people, yet we trust human experts more. IBM's Watson for Oncology was ignored when it agreed with doctors and doubted when it didn't. Opaque algorithms, invisible successes and headline failures feed distrust, and sci-fi films push optimists and sceptics further apart. Experience, transparency reports and letting users tweak algorithms all build trust.

    Questions 27-40 · 14 marks · 3 question blocks

    Answer key and self-check

    Type what you wrote and hit mark. Hide the key first if you haven't done the passage yet. Every question number jumps to its explanation.

    QYour answerAnswer
    Questions 27-32 · Matching headings (i-viii)
    27
    iii
    28
    vi
    29
    ii
    30
    i
    31
    vii
    32
    v
    Questions 33-35 · Multiple choice
    33
    C
    34
    B
    35
    A
    Questions 36-40 · YES / NO / NOT GIVEN
    36
    NO
    37
    NOT GIVEN
    38
    YES
    39
    NO
    40
    YES

    Where the answers sit

    The headings (27-32) take one section each, A to F. The multiple choice (33-35) is in A and C. YES / NO / NOT GIVEN (36-40) covers D to F.

    Matching headings (i-viii)

    Questions 27-32

    How to attack this block: A opens with how much better AI is at forecasting. B is doctors' distrust of Watson, and C explains why we trust people more. D shows attitudes splitting further apart. E proposes transparency about algorithms, and F proposes giving users some control. Two headings are left over, including a tempting one about a successful application.

    Question 27

    Answer: iiiSection A, first five sentences

    Which heading fits Section A, which stresses how well AI predicts?

    Artificial intelligence (AI) can already predict the future… Many decisions in our lives require a good forecast, and AI is almost always better at forecasting than we are.

    Question says → Passage says

    • The superiority of AI projectionsAI is almost always better at forecasting
    • over those made by humansthan we are

    Why: A opens with examples of AI predicting crime, heart attacks and strokes, and then says outright that it's 'almost always better at forecasting than we are'. Projections = forecasts, and 'better than we are' = superiority over humans. That's iii.

    The trap: The second half of A is about our lack of trust in AI, which pulls you towards ii or vi. But A only raises that problem; the reasons come in C and the Watson case in B. Heading iii is what A establishes.

    Question 28

    Answer: viSection B, second and last sentences

    Which heading fits Section B, the Watson for Oncology story?

    Their attempt to promote this program to cancer doctors was a PR disaster… leading many doctors to ignore the seemingly outlandish AI recommendations and stick to their own expertise.

    Question says → Passage says

    • Widespread distrustsuspicion and disbelief / many doctors to ignore
    • an AI innovationWatson for Oncology, one of technology giant IBM's supercomputer programs

    Why: B is one case study: a new AI program that doctors didn't trust, whether it agreed with them or not. 'Suspicion and disbelief' among 'many doctors' = widespread distrust, and Watson is the innovation. That's vi.

    The trap: Heading viii, 'a surprisingly successful AI application', fits Watson's promise to cover 80% of cases, but the launch was 'a PR disaster'. Heading ii fails because B tells a story; the general reasons for distrust are in C.

    Question 29

    Answer: iiSection C, second to fifth sentences

    Which heading fits Section C, which explains why we trust people more?

    Trust in other people is often based on our understanding of how others think and having experience of their reliability… AI, on the other hand, is still fairly new and unfamiliar to most people.

    Question says → Passage says

    • more faith in human judgementTrust in other people
    • than in AIAI, on the other hand
    • Reasons whyis often based on / too difficult for most people to comprehend / acutely aware of instances where AI goes wrong

    Why: C contrasts trust in people (we understand them, we've seen them be reliable) with AI (unfamiliar, hard to understand, its failures in the news). It's a list of reasons, which is heading ii.

    The trap: C begins 'This is just one example of people's lack of confidence in AI', which links back to vi. That sentence is a bridge from B; the rest of C explains the causes.

    Question 30

    Answer: iSection D, third and fourth sentences

    Which heading fits Section D, where films push opinions further apart?

    simply watching a cinematic vision of our technological future polarised the participants' attitudes. Optimists became more extreme in their enthusiasm for AI and sceptics became even more guarded.

    Question says → Passage says

    • An increasing divergence of attitudespolarised the participants' attitudes / a society split between those who benefit from AI and those who reject it
    • increasingmore extreme / even more

    Why: 'Polarised' means pushed to opposite extremes. Optimists got more positive and sceptics more negative, and the writer warns of a split society. Attitudes moving further apart = increasing divergence, heading i.

    The trap: Heading ii is tempting because confirmation bias is a reason people distrust AI. But D shows both sides getting more extreme, not just distrust growing.

    Question 31

    Answer: viiSection E, fourth to last sentences

    Which heading fits Section E, about being more open about algorithms?

    Another solution may be to reveal more about the algorithms which AI uses and the purposes they serve.

    Question says → Passage says

    • Encouraging opennessreveal more about / transparency reports
    • how AI functionsthe algorithms which AI uses and the purposes they serve / the way algorithmic decisions are made

    Why: Most of E is about transparency: revealing the algorithms, following the example of companies' transparency reports, helping people understand how decisions are made. Openness about how AI works is heading vii.

    The trap: E starts with previous experience improving trust, which can look like heading v about involving users. But using AI isn't the same as being involved in how it works, and the bulk of E is about transparency.

    Question 32

    Answer: vSection F, first sentence

    Which heading fits Section F, about giving users some control?

    Research suggests that allowing people some control over AI decision-making could also improve trust and enable AI to learn from human experience.

    Question says → Passage says

    • involving users in AI processesallowing people some control over AI decision-making / given a degree of responsibility
    • The advantagesimprove trust and enable AI to learn / more satisfied with its decisions

    Why: F proposes letting people control or modify AI and lists the benefits: more trust, more satisfaction, more willingness to use it. Involving users plus advantages = heading v.

    The trap: Heading vii is the one people mix up here, but F actually says 'We don't need to understand the intricate inner workings of AI systems'. It's about control, not openness.

    Multiple choice

    Questions 33-35

    How to attack this block: Section A establishes a problem (our lack of trust) before any solutions appear. In C, AI's complexity creates anxiety and a sense of losing control. The media's focus on AI failures sends the message that we can't rely on it.

    Question 33

    Answer: CSection A, sixth to last sentences

    What is the writer doing in Section A?

    Yet for all these technological advances, we still seem to deeply lack confidence in AI predictions… If we want AI to really benefit people, we need to find a way to get people to trust it.

    Question says → Passage says

    • highlighting the existence ofYet for all these technological advances, we still seem to deeply lack confidence
    • a problempeople don't like relying on AI

    Why: A shows how good AI is, then turns with 'Yet' to the problem: people don't trust it. The writer ends by saying we need to understand this, so A sets out the problem. C.

    The trap: D is close because A ends with 'we need to understand why people are so reluctant'. But that's a promise; the reasons themselves come in C. A provides no solution (A) and no argument for an opinion (B).

    Question 34

    Answer: BSection C, sixth sentence

    According to Section C, why might people resist AI?

    And interacting with something we don't understand can cause anxiety and give us a sense that we're losing control.

    Question says → Passage says

    • Its complexitytoo difficult for most people to comprehend / something we don't understand
    • they are at a disadvantagea sense that we're losing control / can cause anxiety

    Why: AI's decision-making is 'too difficult… to comprehend', and dealing with it makes us anxious and feel we're losing control. Feeling out of control because of complexity is feeling at a disadvantage. B.

    The trap: D swaps 'not understanding' for 'misunderstandings'. The passage says people can't understand AI, not that they understand it wrongly. A (jobs) and C (waiting for tests) are never mentioned.

    Question 35

    Answer: ASection C, second-last sentence

    What does the writer say about the media in Section C?

    Embarrassing AI failures receive a disproportionate amount of media attention, emphasising the message that we cannot rely on technology.

    Question says → Passage says

    • leads the public to be mistrustful of AIemphasising the message that we cannot rely on technology

    Why: By focusing on failures, the media tells people they 'cannot rely on' AI. Not relying = mistrusting. A.

    The trap: B borrows 'disproportionate amount of media attention', but that attention goes to AI failures, not to AI in general. D echoes the last sentence about designers, but that's the writer's own comment, not something the media does.

    YES / NO / NOT GIVEN

    Questions 36-40

    How to attack this block: The films didn't change opinions, they strengthened existing ones (NO), and previous experience improves attitudes significantly (NO). Refusing AI could put many people at a serious disadvantage (YES), and users who could modify an algorithm liked it more (YES). The future tone of media portrayals isn't predicted.

    Question 36

    Answer: NOSection D, third and fourth sentences

    Did sci-fi films make people change their views on automation?

    simply watching a cinematic vision of our technological future polarised the participants' attitudes. Optimists became more extreme in their enthusiasm for AI and sceptics became even more guarded.

    Question says → Passage says

    • Subjective depictions of AI in sci-fi filmswhether the film they watched depicted AI in a positive or negative light
    • change their opinionspolarised the participants' attitudes / to support their existing attitudes

    Why: Nobody switched sides. Optimists became more optimistic and sceptics more sceptical, because people used the films 'to support their existing attitudes'. The films strengthened opinions rather than changing them, so NO.

    The trap: 'Polarised' does mean attitudes moved, so some people say YES. But moving further in the same direction isn't changing your opinion; the writer stresses existing attitudes were confirmed.

    Question 37

    Answer: NOT GIVENSection D, sixth sentence

    Will media portrayals of AI become more positive?

    As AI is represented more and more in media and entertainment, it could lead to a society split between those who benefit from AI and those who reject it.

    Question says → Passage says

    • Portrayals of AI in media and entertainmentAI is represented more and more in media and entertainment

    Why: The writer predicts AI will appear more often in the media, but says nothing about whether those portrayals will be positive or negative. NOT GIVEN.

    The trap: 'More and more' is about how often, not how favourably. Don't let the word 'more' carry over to 'more positive'.

    Question 38

    Answer: YESSection D, last sentence

    Could rejecting AI harm many people?

    More pertinently, refusing to accept the advantages offered by AI could place a large group of people at a serious disadvantage.

    Question says → Passage says

    • Rejection of the possibilities of AIrefusing to accept the advantages offered by AI
    • may have a negative effectcould place… at a serious disadvantage
    • many people's livesa large group of people

    Why: Each part lines up: rejecting = refusing to accept, may = could, negative effect = serious disadvantage, many people = a large group. YES.

    Question 39

    Answer: NOSection E, second sentence

    Does familiarity with AI hardly affect attitudes?

    Simply having previous experience with AI can significantly improve people's opinions about the technology

    Question says → Passage says

    • Familiarity with AIhaving previous experience with AI
    • very little impact on people's attitudessignificantly improve people's opinions

    Why: The writer says experience with AI 'significantly' improves opinions. 'Very little impact' is the opposite, so NO.

    The trap: Section C says many people are unfamiliar with AI working, which might make you think familiarity doesn't help. E gives the direct answer: experience makes a significant difference.

    Question 40

    Answer: YESSection F, second sentence

    Are users more likely to approve of AI they can modify?

    when people were allowed the freedom to slightly modify an algorithm, they felt more satisfied with its decisions, more likely to believe it was superior and more likely to use it in the future

    Question says → Passage says

    • users are able to modifyallowed the freedom to slightly modify an algorithm
    • more likely to gain consumer approvalmore satisfied with its decisions / more likely to use it in the future

    Why: Being able to tweak the algorithm made people more satisfied, more convinced it was better and more willing to use it again. That's approval. YES.

    The trap: 'Slightly' might make you think the effect is small. It's the modification that's slight; the gain in approval is clear on three counts.

    Questions worth a second look

    Question 36

    NO. Watching the films polarised people: optimists became more enthusiastic and sceptics more guarded. Opinions intensified rather than changed.

    Question 27

    iii. Section A says AI is 'almost always better at forecasting than we are'. Distrust is mentioned too, but it's developed in B and C.

    Question 34

    B. Not understanding AI's decisions makes people anxious and feel they're losing control, which puts them at a disadvantage. D invents 'misunderstandings'.

    Words from this passage worth keeping

    reluctant(A)
    unwilling to do something
    coincided with(B)
    matched or agreed with
    plausible(B)
    reasonable and likely to be true
    outlandish(B)
    very strange or unusual
    disproportionate(C)
    too large compared with what's deserved
    foolproof(C)
    so well designed it can't go wrong
    polarised(D)
    split into two strongly opposed groups
    pertinently(D)
    in a way that's directly relevant

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