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01 · Anchor passage
A teacher used an AI summary as a draft but checked every claim against the original article.
/ə ˈtit͡ʃɚ just ən eɪ aɪ ˈsʌmɚi æz ə dɹæft bʌt t͡ʃɛkt ˈɛvɹi kleɪm əˈɡɛnst ðə ɚˈɪd͡ʒənəl ˈɑɹtɪkəl./
一位老师使用人工智能摘要作为草稿，但对照原始文章检查了每项主张。
A teacher used an — 保留结构，替换真实细节。At first, this looked like a small decision about artificial intelligence, but its result soon became visible.
/æt fɚst, ðɪs lʊkt laɪk ə smɔl dɪˈsɪʒən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ɪts ɹɪˈzʌlt sun bɪˈkeɪm ˈvɪzɪbəl./
起初，这看起来像是一个关于人工智能的小决定，但其结果很快就变得可见。
At first — 保留结构，替换真实细节。The case raises a broader question: how automated systems create value and new responsibilities.
/ðə keɪs ˈɹeɪzɪz ə ˈbɹɔdɚ ˈkwɛst͡ʃən: haʊ ˈɔtoʊˌmeɪtɪd ˈsɪstəmz kɹiˈeɪt ˈvælju ænd nju ɹiˌspɑnsɪˈbɪlətiz./
该案提出了一个更广泛的问题：自动化系统如何创造价值和新的责任。
The case raises a — 保留结构，替换真实细节。Clear information about artificial intelligence helps people make better decisions.
/klɪɹ ˌɪnfɔɹˈmeɪʃən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns hɛlps ˈpipəl meɪk ˈbɛtɚ dɪˈsɪʒənz./
有关人工智能的清晰信息可以帮助人们做出更好的决策。
Clear information about artificial — 保留结构，替换真实细节。The example draws attention to a learning algorithm, which can shape how people respond to artificial intelligence.
/ðə ɪɡˈzæmpəl dɹɔz əˈtɛnʃən tə ə ˈlɚnɪŋ ˈælɡɚˌɪðəm, wɪt͡ʃ kən ʃeɪp haʊ ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
这个例子提请注意一种学习算法，它可以决定人们如何响应人工智能。
learning algorithm — 保留结构，替换真实细节。A closer look at a workplace automation reveals a practical side of artificial intelligence that general opinions often miss.
/ə ˈkloʊsɚ lʊk æt ə ˈwɚkˌpleɪs ɔtoʊˈmeɪʃən ɹɪˈvilz ə ˈpɹæktɪkəl saɪd əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ðæt ˈd͡ʒɛnɚəl əˈpɪnjənz ˈɔftən mɪs./
仔细观察工作场所自动化，可以发现一般观点经常忽视的人工智能实用的一面。
workplace automation — 保留结构，替换真实细节。This matters because the decision changes what people can do in ordinary life.
/ðɪs ˈmætɚz bɪˈkʌz ðə dɪˈsɪʒən ˈt͡ʃeɪnd͡ʒɪz wʌt ˈpipəl kən du ɪn ˈɔɹdɪˌnɛɹi laɪf./
这很重要，因为决定会改变人们在普通生活中所能做的事情。
because — 保留结构，替换真实细节。Although one response may help, no single solution will suit every person.
/ɔlˈðoʊ wʌn ɹɪˈspɑns meɪ hɛlp, noʊ ˈsɪŋɡəl səˈluʃən wɪl sut ˈɛvɹi ˈpɚsən./
尽管一种回应可能会有所帮助，但没有一种解决方案适合所有人。
although — 保留结构，替换真实细节。A balanced discussion of artificial intelligence should include an example, a limitation, and a conclusion.
/ə ˈbælənst dɪˈskʌʃən əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd ɪŋˈklud ən ɪɡˈzæmpəl, ə ˌlɪmɪˈteɪʃən, ænd ə kəŋˈkluʒən./
对人工智能的平衡讨论应包括示例、限制和结论。
include an example — 保留结构，替换真实细节。The case shows why an important effect matters when people make decisions about artificial intelligence.
/ðə keɪs ʃoʊz waɪ ən ɪmˈpɔɹtənt ɪˈfɛkt ˈmætɚz wɛn ˈpipəl meɪk dɪˈsɪʒənz əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
案件表明，当人们就人工智能作出决定时，一个重要的影响为何重要。
important — 保留结构，替换真实细节。A possible solution can change how people understand and respond to artificial intelligence.
/ə ˈpɑsəbəl səˈluʃən kən t͡ʃeɪnd͡ʒ haʊ ˈpipəl ˌʌndɚˈstænd ænd ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
一个可能的解决方案可以改变人们对人工智能的理解和反应。
possible — 保留结构，替换真实细节。People can avoid a mistake when a real situation involving artificial intelligence requires action.
/ˈpipəl kən əˈvɔɪd ə mɪˈsteɪk wɛn ə ɹil ˌsɪt͡ʃuˈeɪʃən ɪnˈvɑlvɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɹiˈkwaɪɚz ˈækʃən./
当涉及人工智能的真实情况需要采取行动时，人们可以避免错误。
avoid a mistake — 保留结构，替换真实细节。A concrete example can provide evidence for a claim about artificial intelligence.
/ə ˈkɑŋkɹit ɪɡˈzæmpəl kən pɹəˈvaɪd ˈɛvədəns fɚ ə kleɪm əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
一个具体的例子可以为有关人工智能的主张提供证据。
provide evidence — 保留结构，替换真实细节。A similar experience can change how people understand and respond to artificial intelligence.
/ə ˈsɪmɪlɚ ɪkˈspɪɹiəns kən t͡ʃeɪnd͡ʒ haʊ ˈpipəl ˌʌndɚˈstænd ænd ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
类似的经历可以改变人们对人工智能的理解和反应。
similar — 保留结构，替换真实细节。Debates about artificial intelligence become difficult when people treat a partial truth as a complete explanation.
/dɪˈbeɪts əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns bɪˈkʌm ˈdɪfɪkʌlt wɛn ˈpipəl tɹit ə ˈpɑɹʃəl tɹuθ æz ə kəmˈplit ˌɛkspləˈneɪʃən./
当人们将部分事实视为完整的解释时，有关人工智能的争论就会变得困难。
Debates about artificial intelligence — 保留结构，替换真实细节。A stronger position acknowledges a reasonable objection, sets clear limits, and still explains why one conclusion is preferable.
/ə ˈstɹɔŋɡɚ pəˈzɪʃən ækˈnɑlɪd͡ʒɪz ə ˈɹiznəbəl əbˈd͡ʒɛkʃən, sɛts klɪɹ ˈlɪmɪts, ænd stɪl ɪkˈspleɪnz waɪ wʌn kəŋˈkluʒən ɪz ˈpɹɛfɚəbəl./
更强硬的立场承认合理的反对意见，设定明确的限制，并仍然解释为什么一个结论更可取。
A stronger position acknowledges — 保留结构，替换真实细节。This balance does not weaken the argument; it makes the judgement more precise, credible, and useful.
/ðɪs ˈbæləns dʌz nɑt ˈwikən ðə ˈɑɹɡjəmənt; ɪt meɪks ðə ˈd͡ʒʌd͡ʒmənt mɔɹ pɹɪˈsaɪs, ˈkɹɛdɪbəl, ænd ˈjusfəl./
这种平衡并不削弱这一论点；它使判断更加准确、可信和有用。
This balance does not — 保留结构，替换真实细节。When discussing artificial intelligence, people should explain why a different experience matters.
/wɛn dɪˈskʌsɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, ˈpipəl ʃʊd ɪkˈspleɪn waɪ ə ˈdɪfɹənt ɪkˈspɪɹiəns ˈmætɚz./
在讨论人工智能时，人们应该解释为什么不同的体验很重要。
different — 保留结构，替换真实细节。The case shows why a significant effect matters when people make decisions about artificial intelligence.
/ðə keɪs ʃoʊz waɪ ə sɪɡˈnɪfɪkənt ɪˈfɛkt ˈmætɚz wɛn ˈpipəl meɪk dɪˈsɪʒənz əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
案件表明，当人们就人工智能作出决定时，为什么一个重要的影响很重要。
significant — 保留结构，替换真实细节。One key factor can explain why people experience artificial intelligence in different ways.
/wʌn ki ˈfæktɚ kən ɪkˈspleɪn waɪ ˈpipəl ɪkˈspɪɹiəns ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɪn ˈdɪfɹənt weɪz./
一个关键因素可以解释为什么人们以不同的方式体验人工智能。
different — 保留结构，替换真实细节。Values, resources, and past experience can influence behaviour related to artificial intelligence.
/ˈvæljuz, ˈɹisɔɹsɪz, ænd pæst ɪkˈspɪɹiəns kən ˈɪnfluəns bɪˈheɪvjɚ ɹɪˈleɪtɪd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
价值，资源和过去的经验可以影响与人工智能有关的行为。
influence behaviour — 保留结构，替换真实细节。A long-term consequence of artificial intelligence may be less visible than the immediate result.
/ə lɔŋ tɚm ˈkɑnsəkwəns əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ bi lɛs ˈvɪzɪbəl ðən ðə ɪˈmidiɪt ɹɪˈzʌlt./
人工智能的长期后果可能不如直接结果那么明显。
long-term consequence — 保留结构，替换真实细节。Practical support can help people respond to artificial intelligence without removing individual responsibility.
/ˈpɹæktɪkəl səˈpɔɹt kən hɛlp ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns wɪˈðaʊt ɹiˈmuvɪŋ ˌɪndɪˈvɪd͡ʒuəl ɹiˌspɑnsɪˈbɪləti./
实际支持可以帮助人们在不免除个人责任的情况下应对人工智能。
support — 保留结构，替换真实细节。The effect of artificial intelligence may vary according to a person's needs, resources, and circumstances.
/ðə ɪˈfɛkt əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ ˈvɛɹi əˈkɔɹdɪŋ tə ə ˈpɚsənz nidz, ˈɹisɔɹsɪz, ænd ˈsɚkəmˌstænsɪz./
人工智能的效果可能因人的需求，资源和情况而异。
effect — 保留结构，替换真实细节。However, an early success can hide a cost that appears later.
/ˌhaʊˈɛvɚ, ən ˈɚli səkˈsɛs kən haɪd ə kɔst ðæt əˈpɪɹz ˈleɪtɚ./
然而，早期的成功可能会掩盖后来出现的成本。
however — 保留结构，替换真实细节。A balanced approach to artificial intelligence compares benefits, costs, and the needs of different groups.
/ə ˈbælənst əˈpɹoʊt͡ʃ tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kəmˈpɛɹz ˈbɛnəfɪts, kɔsts, ænd ðə nidz əv ˈdɪfɹənt ɡɹups./
人工智能的平衡方法会比较不同群体的收益、成本和需求。
different — 保留结构，替换真实细节。The main benefit of a thoughtful response to artificial intelligence is a result that people can actually observe.
/ðə meɪn ˈbɛnəfɪt əv ə ˈθɔtfəl ɹɪˈspɑns tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɪz ə ɹɪˈzʌlt ðæt ˈpipəl kən ˈækt͡ʃəli əbˈzɚv./
对人工智能进行深思熟虑的反应的主要好处是人们可以实际观察的结果。
benefit — 保留结构，替换真实细节。The most practical lesson is that artificial intelligence should be judged through real effects rather than attractive slogans.
/ðə moʊst ˈpɹæktɪkəl ˈlɛsən ɪz ðæt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd bi d͡ʒʌd͡ʒd θɹu ɹil ɪˈfɛkts ˈɹæðɚ ðən əˈtɹæktɪv ˈsloʊɡənz./
最实际的教训是人工智能应该通过实际效果而不是有吸引力的口号来判断。
rather than — 保留结构，替换真实细节。A useful explanation also distinguishes what one person can change from what requires support from a larger institution.
/ə ˈjusfəl ˌɛkspləˈneɪʃən ˈɔlsoʊ dɪˈstɪŋɡwɪʃɪz wʌt wʌn ˈpɚsən kən t͡ʃeɪnd͡ʒ fɹʌm wʌt ɹiˈkwaɪɚz səˈpɔɹt fɹʌm ə ˈlɑɹd͡ʒɚ ˌɪnstɪˈtuʃən./
一个有用的解释还可以区分一个人可以改变的事情和需要更大机构支持的事情。
support — 保留结构，替换真实细节。Good decisions connect a clear purpose with evidence, human experience, and the willingness to revise a weak approach.
/ɡʊd dɪˈsɪʒənz kəˈnɛkt ə klɪɹ ˈpɚpəs wɪθ ˈɛvədəns, ˈhjumən ɪkˈspɪɹiəns, ænd ðə ˈwɪlɪŋnəs tə ɹɪˈvaɪz ə wik əˈpɹoʊt͡ʃ./
好的决定会把明确目标、事实证据、人的真实经验，以及修正薄弱方案的意愿联系起来。
approach — 保留结构，替换真实细节。When those parts stay connected, the topic becomes easier to discuss in daily conversation and in an IELTS answer.
/wɛn ðoʊz pɑɹts steɪ kəˈnɛktɪd, ðə ˈtɑpɪk bɪˈkʌmz ˈiziɚ tə dɪˈskʌs ɪn ˈdeɪli ˌkɑnvɚˈseɪʃən ænd ɪn ən aɪ ɛl ti ɛs ˈænsɚ./
当这些部分保持连贯时，无论日常交流还是 IELTS 回答，这个主题都会更容易展开。
When those parts stay — 保留结构，替换真实细节。A teacher used an AI summary as a draft but checked every claim against the original article.
/ə ˈtit͡ʃɚ just ən eɪ aɪ ˈsʌmɚi æz ə dɹæft bʌt t͡ʃɛkt ˈɛvɹi kleɪm əˈɡɛnst ðə ɚˈɪd͡ʒənəl ˈɑɹtɪkəl./
At first, this looked like a small decision about artificial intelligence, but its result soon became visible.
/æt fɚst, ðɪs lʊkt laɪk ə smɔl dɪˈsɪʒən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ɪts ɹɪˈzʌlt sun bɪˈkeɪm ˈvɪzɪbəl./
The case raises a broader question: how automated systems create value and new responsibilities.
/ðə keɪs ˈɹeɪzɪz ə ˈbɹɔdɚ ˈkwɛst͡ʃən: haʊ ˈɔtoʊˌmeɪtɪd ˈsɪstəmz kɹiˈeɪt ˈvælju ænd nju ɹiˌspɑnsɪˈbɪlətiz./
Clear information about artificial intelligence helps people make better decisions.
/klɪɹ ˌɪnfɔɹˈmeɪʃən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns hɛlps ˈpipəl meɪk ˈbɛtɚ dɪˈsɪʒənz./
The example draws attention to a learning algorithm, which can shape how people respond to artificial intelligence.
/ðə ɪɡˈzæmpəl dɹɔz əˈtɛnʃən tə ə ˈlɚnɪŋ ˈælɡɚˌɪðəm, wɪt͡ʃ kən ʃeɪp haʊ ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
A closer look at a workplace automation reveals a practical side of artificial intelligence that general opinions often miss.
/ə ˈkloʊsɚ lʊk æt ə ˈwɚkˌpleɪs ɔtoʊˈmeɪʃən ɹɪˈvilz ə ˈpɹæktɪkəl saɪd əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ðæt ˈd͡ʒɛnɚəl əˈpɪnjənz ˈɔftən mɪs./
This matters because the decision changes what people can do in ordinary life.
/ðɪs ˈmætɚz bɪˈkʌz ðə dɪˈsɪʒən ˈt͡ʃeɪnd͡ʒɪz wʌt ˈpipəl kən du ɪn ˈɔɹdɪˌnɛɹi laɪf./
Although one response may help, no single solution will suit every person.
/ɔlˈðoʊ wʌn ɹɪˈspɑns meɪ hɛlp, noʊ ˈsɪŋɡəl səˈluʃən wɪl sut ˈɛvɹi ˈpɚsən./
A balanced discussion of artificial intelligence should include an example, a limitation, and a conclusion.
/ə ˈbælənst dɪˈskʌʃən əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd ɪŋˈklud ən ɪɡˈzæmpəl, ə ˌlɪmɪˈteɪʃən, ænd ə kəŋˈkluʒən./
The case shows why an important effect matters when people make decisions about artificial intelligence.
/ðə keɪs ʃoʊz waɪ ən ɪmˈpɔɹtənt ɪˈfɛkt ˈmætɚz wɛn ˈpipəl meɪk dɪˈsɪʒənz əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
A possible solution can change how people understand and respond to artificial intelligence.
/ə ˈpɑsəbəl səˈluʃən kən t͡ʃeɪnd͡ʒ haʊ ˈpipəl ˌʌndɚˈstænd ænd ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
People can avoid a mistake when a real situation involving artificial intelligence requires action.
/ˈpipəl kən əˈvɔɪd ə mɪˈsteɪk wɛn ə ɹil ˌsɪt͡ʃuˈeɪʃən ɪnˈvɑlvɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɹiˈkwaɪɚz ˈækʃən./
A concrete example can provide evidence for a claim about artificial intelligence.
/ə ˈkɑŋkɹit ɪɡˈzæmpəl kən pɹəˈvaɪd ˈɛvədəns fɚ ə kleɪm əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
A similar experience can change how people understand and respond to artificial intelligence.
/ə ˈsɪmɪlɚ ɪkˈspɪɹiəns kən t͡ʃeɪnd͡ʒ haʊ ˈpipəl ˌʌndɚˈstænd ænd ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
Debates about artificial intelligence become difficult when people treat a partial truth as a complete explanation.
/dɪˈbeɪts əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns bɪˈkʌm ˈdɪfɪkʌlt wɛn ˈpipəl tɹit ə ˈpɑɹʃəl tɹuθ æz ə kəmˈplit ˌɛkspləˈneɪʃən./
A stronger position acknowledges a reasonable objection, sets clear limits, and still explains why one conclusion is preferable.
/ə ˈstɹɔŋɡɚ pəˈzɪʃən ækˈnɑlɪd͡ʒɪz ə ˈɹiznəbəl əbˈd͡ʒɛkʃən, sɛts klɪɹ ˈlɪmɪts, ænd stɪl ɪkˈspleɪnz waɪ wʌn kəŋˈkluʒən ɪz ˈpɹɛfɚəbəl./
This balance does not weaken the argument; it makes the judgement more precise, credible, and useful.
/ðɪs ˈbæləns dʌz nɑt ˈwikən ðə ˈɑɹɡjəmənt; ɪt meɪks ðə ˈd͡ʒʌd͡ʒmənt mɔɹ pɹɪˈsaɪs, ˈkɹɛdɪbəl, ænd ˈjusfəl./
When discussing artificial intelligence, people should explain why a different experience matters.
/wɛn dɪˈskʌsɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, ˈpipəl ʃʊd ɪkˈspleɪn waɪ ə ˈdɪfɹənt ɪkˈspɪɹiəns ˈmætɚz./
The case shows why a significant effect matters when people make decisions about artificial intelligence.
/ðə keɪs ʃoʊz waɪ ə sɪɡˈnɪfɪkənt ɪˈfɛkt ˈmætɚz wɛn ˈpipəl meɪk dɪˈsɪʒənz əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
One key factor can explain why people experience artificial intelligence in different ways.
/wʌn ki ˈfæktɚ kən ɪkˈspleɪn waɪ ˈpipəl ɪkˈspɪɹiəns ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɪn ˈdɪfɹənt weɪz./
Values, resources, and past experience can influence behaviour related to artificial intelligence.
/ˈvæljuz, ˈɹisɔɹsɪz, ænd pæst ɪkˈspɪɹiəns kən ˈɪnfluəns bɪˈheɪvjɚ ɹɪˈleɪtɪd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
A long-term consequence of artificial intelligence may be less visible than the immediate result.
/ə lɔŋ tɚm ˈkɑnsəkwəns əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ bi lɛs ˈvɪzɪbəl ðən ðə ɪˈmidiɪt ɹɪˈzʌlt./
Practical support can help people respond to artificial intelligence without removing individual responsibility.
/ˈpɹæktɪkəl səˈpɔɹt kən hɛlp ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns wɪˈðaʊt ɹiˈmuvɪŋ ˌɪndɪˈvɪd͡ʒuəl ɹiˌspɑnsɪˈbɪləti./
The effect of artificial intelligence may vary according to a person's needs, resources, and circumstances.
/ðə ɪˈfɛkt əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ ˈvɛɹi əˈkɔɹdɪŋ tə ə ˈpɚsənz nidz, ˈɹisɔɹsɪz, ænd ˈsɚkəmˌstænsɪz./
However, an early success can hide a cost that appears later.
/ˌhaʊˈɛvɚ, ən ˈɚli səkˈsɛs kən haɪd ə kɔst ðæt əˈpɪɹz ˈleɪtɚ./
A balanced approach to artificial intelligence compares benefits, costs, and the needs of different groups.
/ə ˈbælənst əˈpɹoʊt͡ʃ tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kəmˈpɛɹz ˈbɛnəfɪts, kɔsts, ænd ðə nidz əv ˈdɪfɹənt ɡɹups./
The main benefit of a thoughtful response to artificial intelligence is a result that people can actually observe.
/ðə meɪn ˈbɛnəfɪt əv ə ˈθɔtfəl ɹɪˈspɑns tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɪz ə ɹɪˈzʌlt ðæt ˈpipəl kən ˈækt͡ʃəli əbˈzɚv./
The most practical lesson is that artificial intelligence should be judged through real effects rather than attractive slogans.
/ðə moʊst ˈpɹæktɪkəl ˈlɛsən ɪz ðæt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd bi d͡ʒʌd͡ʒd θɹu ɹil ɪˈfɛkts ˈɹæðɚ ðən əˈtɹæktɪv ˈsloʊɡənz./
A useful explanation also distinguishes what one person can change from what requires support from a larger institution.
/ə ˈjusfəl ˌɛkspləˈneɪʃən ˈɔlsoʊ dɪˈstɪŋɡwɪʃɪz wʌt wʌn ˈpɚsən kən t͡ʃeɪnd͡ʒ fɹʌm wʌt ɹiˈkwaɪɚz səˈpɔɹt fɹʌm ə ˈlɑɹd͡ʒɚ ˌɪnstɪˈtuʃən./
Good decisions connect a clear purpose with evidence, human experience, and the willingness to revise a weak approach.
/ɡʊd dɪˈsɪʒənz kəˈnɛkt ə klɪɹ ˈpɚpəs wɪθ ˈɛvədəns, ˈhjumən ɪkˈspɪɹiəns, ænd ðə ˈwɪlɪŋnəs tə ɹɪˈvaɪz ə wik əˈpɹoʊt͡ʃ./
When those parts stay connected, the topic becomes easier to discuss in daily conversation and in an IELTS answer.
/wɛn ðoʊz pɑɹts steɪ kəˈnɛktɪd, ðə ˈtɑpɪk bɪˈkʌmz ˈiziɚ tə dɪˈskʌs ɪn ˈdeɪli ˌkɑnvɚˈseɪʃən ænd ɪn ən aɪ ɛl ti ɛs ˈænsɚ./
02 · Vocabulary
n./phrase · 算法
a key idea used when discussing artificial intelligence
learning algorithm
n./phrase · 自动化
a key idea used when discussing artificial intelligence
workplace automation
conj. · 因为
for the reason that
because of
conj. · 尽管
despite the fact that
although it is
v. · 包括
to contain something as a part
include an example
adj. · 重要的
having great value or influence
play an important role
adj. · 可能的
able to happen or be done
as soon as possible
v. · 避免
to prevent something from happening
avoid a mistake
v. · 提供
to give something that is needed
provide evidence
adj. · 相似的
almost the same
a similar pattern
adj. · 不同的
not the same
a different view
adj. · 显著的
important enough to be noticed
a significant increase
n. · 因素
one of the things that causes a result
a key factor
n./v. · 影响
the power to affect a person or event
influence behaviour
n. · 后果
a result of an action or condition
long-term consequence
n./v. · 支持
help that makes something possible
support an idea
n. · 影响；结果
a change caused by something
have an effect on
adv. · 然而
used to introduce a contrasting idea
however, some people
n./v. · 方法；处理
a way of dealing with something
a balanced approach
n./v. · 益处
a helpful or positive effect
bring benefits
03 · Chunks
learning algorithm算法；保留结构，替换一个真实细节。workplace automation自动化；保留结构，替换一个真实细节。because of因为；保留结构，替换一个真实细节。although it is尽管；保留结构，替换一个真实细节。include an example包括；保留结构，替换一个真实细节。play an important role重要的；保留结构，替换一个真实细节。as soon as possible可能的；保留结构，替换一个真实细节。avoid a mistake避免；保留结构，替换一个真实细节。04 · Grammar
英语陈述句通常先给主语，再给谓语和补充信息。
结构：Subject + Verb + Object / Complement
原文证据：Clear information about artificial intelligence helps people make better decisions.
常见错误：不要按中文顺序堆词；每句先确认谁做什么。
你的替换：保留结构，把主题换成自己的工作、生活或学习经历。
05 · Pronunciation
练法：慢读单词 → 读完整搭配 → 回到原句；每一步只录一遍，听完再修正。
06 · Spiral review
Day 308、Day 306、Day 302、Day 295、Day 279
07 · Speak with AI
你是我的一对一英语口语教练。今天是 Day 309，主题是 artificial intelligence，程度目标是 B2+。
先让我用自己的话复述今天的文章；一次只问一个问题，并等待我回答。
如果我卡住，只给 2–4 个关键词或一个句首，不要直接给完整答案。
请引导我使用这些词：algorithm, automation, because, although, include, important, possible, avoid, provide, similar, different。
我的回答至少包含：一个事实、一个原因、一个具体例子、一个结果或判断。
每轮结束后只纠正最影响理解的 1 个语法问题和 1 个发音问题，然后让我重新回答同一个问题。
最后让我脱稿回答：How is artificial intelligence connected to your real life, and what have you learned from it?
结束时用中文列出：做得好的证据、需要修正的两点、三个可复用句型、明天应复习的内容。08 · Imitation
必须回收
algorithm, automation, because, although, include, important, possible, avoid, provide, similar, different09 · Three-hour path