ATTITUDES TOWARDS ARTIFICIAL INTELLIGENCE
A
Artificial intelligence (AI) can already predict the future. Police forces are using it to map when and where crime is likely to occur. Doctors can use it to predict when a patient is most likely to have a heart attack or stroke. Researchers are even trying to give AI imagination so it can plan for unexpected consequences.
Many decisions in our lives require a good forecast, and AI is almost always better at forecasting than we are. Yet for all these technological advances, we still seem to deeply lack confidence in AI predictions. Recent cases show that people don’t like relying on AI and prefer to trust human experts, even if these experts are wrong.
If we want AI to really benefit people, we need to find a way to get people to trust it. To do that, we need to understand why people are so reluctant to trust AI in the first place.
B
Take the case of Watson for Oncology, one of technology giant IBM’s supercomputer programs. Their attempt to promote this program to cancer doctors was a PR disaster. The AI promised to deliver top-quality recommendations on the treatment of 12 cancers that accounted for 80% of the world’s cases. But when doctors first interacted with Watson, they found themselves in a rather difficult situation. On the one hand, if Watson provided guidance about a treatment that coincided with their own opinions, physicians did not see much point in Watson’s recommendations. The supercomputer was simply telling them what they already knew, and these recommendations did not change the actual treatment.
On the other hand, if Watson generated a recommendation that contradicted the experts’ opinion, doctors would typically conclude that Watson wasn’t competent. And the machine wouldn’t be able to explain why its treatment was plausible because its machine-learning algorithms were simply too complex to be fully understood by humans. Consequently, this has caused even more suspicion and disbelief, leading many doctors to ignore the seemingly outlandish AI recommendations and stick to their own expertise.
C
This is just one example of people’s lack of confidence in AI and their reluctance to accept what AI has to offer. Trust in other people is often based on our understanding of how others think and having experience of their reliability. This helps create a psychological feeling of safety. AI, on the other hand, is still fairly new and unfamiliar to most people. Even if it can be technically explained (and that’s not always the case), AI’s decision-making process is usually too difficult for most people to comprehend. And interacting with something we don’t understand can cause anxiety and give us a sense that we’re losing control.
Many people are also simply not familiar with many instances of AI actually working, because it often happens in the background. Instead, they are acutely aware of instances where AI goes wrong. Embarrassing AI failures receive a disproportionate amount of media attention, emphasising the message that we cannot rely on technology. Machine learning is not foolproof, in part because the humans who design it aren’t.
D
Feelings about AI run deep. In a recent experiment, people from a range of backgrounds were given various sci-fi films about AI to watch and then asked questions about automation in everyday life. It was found that, regardless of whether the film they watched depicted AI in a positive or negative light, 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.
This suggests people use relevant evidence about AI in a biased manner to support their existing attitudes, a deep-rooted human tendency known as “confirmation bias”. 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. More pertinently, refusing to accept the advantages offered by AI could place a large group of people at a serious disadvantage.
E
Fortunately, we already have some ideas about how to improve trust in AI. Simply having previous experience with AI can significantly improve people’s opinions about the technology, as was found in the study mentioned above. Evidence also suggests the more you use other technologies such as the internet, the more you trust them.
Another solution may be to reveal more about the algorithms which AI uses and the purposes they serve. Several high-profile social media companies and online marketplaces already release transparency reports about government requests and surveillance disclosures. A similar practice for AI could help people have a better understanding of the way algorithmic decisions are made.
F
Research suggests that allowing people some control over AI decision-making could also improve trust and enable AI to learn from human experience. For example, one study showed that 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.
We don’t need to understand the intricate inner workings of AI systems, but if people are given a degree of responsibility for how they are implemented, they will be more willing to accept AI into their lives.
Questions 27-32
Reading Passage 3 has six sections, A-F.
Choose the correct heading for each section from the list of headings below.
Write the correct number, i-viii, in boxes 27-32 on your answer sheet.
List of Headings
i An increasing divergence of attitudes towards AI
ii Reasons why we have more faith in human judgement than in AI
iii The superiority of AI projections over those made by humans
iv The process by which AI can help us make good decisions
v The advantages of involving users in AI processes
vi Widespread distrust of an AI innovation
vii Encouraging openness about how AI functions
viii A surprisingly successful AI application
27. Section A
28. Section B
29. Section C
30. Section D
31. Section E
32. Section F
Question 33-35
Choose the correct letter, A, B, C or D.
Write the correct letter in boxes 33-35 on your answer sheet.
33. What is the writer doing in Section A?
A) providing a solution to a concern
B) justifying an opinion about an issue
C) highlighting the existence of a problem
D) explaining the reasons for a phenomenon
34 According to Section C, why might some people be reluctant to accept AI?
A) They are afraid it will replace humans in decision-making jobs.
B) Its complexity makes them feel that they are at a disadvantage.
C) They would rather wait for the technology to be tested over a period of time.
D) Misunderstandings about how it works make it seem more challenging than it is.
35. What does the writer say about the media in Section C of the text?
A) It leads the public to be mistrustful of AI.
B) It devotes an excessive amount of attention to AI.
C) Its reports of incidents involving AI are often inaccurate.
D) It gives the impression that AI failures are due to designer error.
Questions 36-40
Do the following statements agree with the claims of the writer in Reading Passage 3?
In boxes 36-40 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
36. Subjective depictions of AI in sci-fi films make people change their opinions about automation.
37. Portrayals of AI in media and entertainment are likely to become more positive.
38. Rejection of the possibilities of AI may have a negative effect on many people’s lives.
39. Familiarity with AI has very little impact on people’s attitudes to the technology.
40. AI applications which users are able to modify are more likely to gain consumer approval.
LỜI GIẢI CHI TIẾT
27. Section A
Answer: iii – The superiority of AI projections over those made by humans.
— Section A’s full first part and the second part’s first line. A section’s first part tells about elds in which AI is used to predict future. In the A section’s second part’s first line, it is clearly said that AI is almost always better at forecasting (predict/projection) than we are.
28. Section B
Answer: vi – Widespread distrust of an AI innovation.
— In the B section’s first part, from line 6 to 9, and line 1 & 2 of the second part of B section. Watson is a supercomputer used for Oncology. If Watson gives opinion about treatment that doctors already know, then doctors do not see it with much value. If Watson recommends something opposite of expert’s opinion, doctors think Watson is not smart enough. It means they do not want to trust Watson in any way.
29. Section C
Answer: ii – Reasons why we have more faith in human judgement than in AI.
— In Section C, from line 1 to 5. In these lines, the writer explained that we trust in human more because we understand how others think and our trust on them was right so we feel safe. But we do not know much about AI, so we do not faith them.
30. Section D
Answer: i – An increasing divergence of attitudes towards AI.
— Section D’s 2 part’s 3 & 4 line. “ As AI is represented more and more in media and entertainment, it could lead to society split between those who benefit and those who reject it.” Divergence (split) = Difference in opinions.
31. Section E
Answer: vii – Encouraging openness about how AI functions.
— In section E’s full second part. The first line of this part said showing more about how algorithms work and for what they work will improve the trust in AI.
32. Section F
Answer: v – The advantages of involving users in AI processes.
— In first line of F section. “Allowing people’s control over AI decision-making could also improve trust”. Advantage-> improve people’s trust.
Question 33-35. Choose the correct letter, A, B, C or D. (Multiple Choice)
33. What is the writer doing in Section A?
Answer: C – highlighting the existence of a problem.
— Section A’s second part’s line 2 & 3. The problem is the lack of confidence in AI predictions.
34. According to Section C, why might some people be reluctant to accept AI?
Answer: B – its complexity makes them feel they are at a disadvantage.
— Section C’s first part’s last three lines. A sense of losing control is the disadvantage that the writer talked about. Complexity-> difficult to comprehend. Comprehend = understand
35. What does the writer say about the media in Section C of the text?
Answer: A – It leads the public to be mistrustful of AI.
— Section C’s second part’s lines 3 to 5. “Embarrassing AI failures receive a disproportionate amount of media attention, emphasizing the massage that we cannot rely on technology.” Clearly give.
Questions 36-40. YES/ NO/ NOT GIVEN
36. Subjective depictions of AI in sci- films make people change their opinion about automation.
Answer: NO
– In section D’s first part’s lines 3 to 7. “In the last line of this part, it is said that optimists became more extreme in their enthusiasm for AI and skeptics became even more guarded.” It means people who favour AI start favoring more while who doubt AI became stronger in their opinion after watching AI film.
37. Portrayals of AI in media and entertainment are likely to become more positive.
Answer: NOT GIVEN
– There is discussion related to media and entertainment in D section but nothing is discussed whether the media will portray AI
positively or not.
38. Rejection of the possibilities of AI may have a negative effect on many people’s lives.
Answer: YES
– Section D’s second part’s last 2 lines. “Refusing to accept the advantages offered by AI could place a large group of people at a serious disadvantage.” Clearly given.
39. Familiarity with AI has very little impact on people’s attitude to the technology.
Answer: NO
– In section E’s first part’s lines 2 to 4. “In these lines, the writer said that having previous experience with AI can significantly improve
people’s opinion about technology.” The given lines contradict with the question.
40. AI applications which users are able to modify are more likely to gain consumer approval.
Answer: YES
– In section F’s first part’s lines 3 & 4. “When people were allowed the freedom to slightly modify an algorithm, they felt more satisfied with its decision”.
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