2023届高考英语三轮复习·冲刺押题·外刊阅读理解训练 (9)（含答案）.doc

2023届高考英语三轮复习·冲刺押题 外刊阅读理解训练9 ——改编自AI makes plagiarism harder to detect, argue academics – in paper written by chatbot 【文章】 Artificial intelligence (AI) technology has reached new heights in recent years, with AI tools now capable of performing a wide range of tasks, including writing. However, this has raised concerns for universities, which are seeking to tackle academic cheating facilitated by these advanced technologies. A recent paper written and published through the use of an AI model known as ChatGPT highlighted the issue of "chatting and cheating". Debby Cotton, a professor and pretend lead author of the paper said: "This is an arms race…It's going to be difficult for universities to outrun it." Many institutions are concerned about detecting students who cheat using AI-assisted essay-writing software, and expelling them from their academic programs. According to Thomas Lancaster, a computer scientist at Imperial College London, many universities are "panicking" over the issue. One of the main challenges for universities is determining whether a paper has been written by a machine or not since AI can produce writing that matches or exceeds that of a human. Furthermore, the latest version of the AI model can sometimes write in a way that appears more natural to humans, making it even more challenging. Despite these challenges, academics can still look for clues that a person wrote the work, such as incorrect academic referencing where "suspect" references may appear. Clues such as these that differentiate between human writing and machine writing can help identify detected cheating. To combat this problem, Irene Glendinning of Coventry University suggested redoubling their efforts by reminding students of the consequences associated with cheating, including the potential expulsion from their degrees, and additional training on how to use AI tools correctly. Overall, the growth of AI technology presents both benefits and challenges in academia. While AI-powered writing tools have the potential to make writing more efficient, institutions must ensure that they take appropriate measures that prevent cheating and uphold the integrity of academic standards. 【重点词汇&词组】 artificial intelligence (AI) 技术 [ˌɑːtɪˈfɪʃl ɪnˈtelɪdʒəns] - n. 人工智能技术 reach new heights 达到新的高度 [riːtʃ njuː haɪts] - v. 达到更高的水平 performing 执行 [pəˈfɔːmɪŋ] - v. 进行，执行 facilitated 促进了 [fəˈsɪlɪteɪtɪd] - v. 促进，便利 tackle 应对 [ˈtækəl] - v. 处理，应对 academic cheating 学术作弊 [ˌækəˈdemɪk ˈtʃiːtɪŋ] - n. 在学术领域中作弊 recent paper 最近的论文 [ˈriːsnt ˈpeɪpər]- n. 最近发表的文章 AI model AI模型 [ˌeɪˈaɪ ˈmɒdl] - n. 人工智能模型 ChatGPT - n. ChatGPT issue 问题 [ˈɪʃuː] - n. 问题，议题 arms race 军备竞赛 [ɑːmz reɪs] - n. 武器竞赛 universities 大学 [ˌjuːnɪvərˈsɪtiz] - n. 大学 outrun 赶超 [aʊtˈrʌn] - v. 超过，赶上 detecting 检测 [dɪˈtektɪŋ] - v. 发现，检测 students 学生 [ˈstjuːdnts] - n. 学生 essay-writing software 论文写作软件 [ˈeseɪˌraɪtɪŋ ˈsɒftweə]- n. 论文写作软件 expelling 开除 [ɪkˈspelɪŋ] - v. 开除 academic programs 学术项目 [ækəˈdemɪk ˈprəʊɡræmz] - n. 学术项目 computer scientist 计算机科学家 [kəmˈpjuːtər ˈsaɪəntɪst] - n. 计算机科学家 Imperial College London 帝国理工学院 [ɪmˈpɪəriəl ˈkɒlɪdʒ ˈlʌndən] - n. 帝国理工学院 panicking 恐慌 [ˈpænɪkɪŋ] - v. 恐慌 determining 确定 [dɪˈtɜːmɪnɪŋ] - v. 确定，判断 written by a machine 由机器写成的 [ˈrɪtn baɪ ə məˈʃiːn] - phr. 机器写成的 exceeds 超过 [ɪkˈsiːdz] - v. 超过 natural 自然的 [ˈnætʃrəl] - adj. 自然的 challenging 有挑战性的 [ˈtʃælɪndʒɪŋ] - adj. 具有挑战性的 version 版本 [ˈvɜːʃn] - n. 版本 academic referencing 学术引用 [ˌækəˈdemɪk ˈrefrənsɪŋ] - n. 学术引用 suspect 可疑的 [səsˈpekt] - adj. 可疑的 differentiate 区分 [dɪˈfərənʃieɪt] - v. 区分，区别 identified 发现 [aɪˈdentɪfaɪd] - v. 辨认出，识别出 combat 战斗 [ˈkɒmbæt] - v. 对抗，打击 reminding 提醒 [rɪˈmaɪndɪŋ] - v. 提醒，使想起 consequences 后果 [ˈkɒnsɪkwənsɪz] - n. 后果，结果 associated 相关的 [əˈsəʊsiˌeɪtɪd] - adj. 相关的 degrees 学位 [dɪˈɡriːz] - n. 学位 efficiency 效率 [ɪˈfɪʃnsi] - n. 效率 institutions 机构 [ˌɪnstɪˈtjuːʃnz] - n. 机构 appropriate measures 适当措施 [əˈprəʊpriət ˈmeʒəz] - phr. 适当的措施 uphold 维护 [ʌpˈhəʊld] - v. 维护，支持 integrity 完整性 [ɪnˈteɡrəti] - n. 完整性，正直 benefits 优点 [ˈbenɪfɪts] - n. 利益，优点 challenges 挑战 [ˈtʃælɪndʒɪz] - n. 挑战，难题 【阅读理解习题】 1. What is the main concern for universities regarding AI technology according to the article? A) The potential for AI to replace human writers in academia. B) The increase in cheating facilitated by AI tools. C) The difficulty of detecting AI-assisted writing. D) The need to train students on how to use AI tools correctly. Answer: B 中文解析：根据文章，大学担心AI技术促进了学术作弊问题的增加。 2. What is the name of the AI model used in the paper mentioned in the article? A) Imperial College London B) Coventry University C) ChatGPT D) Thomas Lancaster Answer: C 中文解析：文章提到的AI模型的名称是ChatGPT。 3. According to the article, what is one of the main challenges for universities in identifying machine writing? A) AI can produce writing that matches or exceeds that of a human. B) AI-assisted essay-writing software is undetectable. C) AI writing lacks natural sentence structure and grammar. D) Human writing is always more complex than machine writing. Answer: A 中文解析：根据文章，一个主要挑战是区分机器写作和人类写作，因为AI可以产生与人类相匹配或甚至超过人类的写作。 4. How can academics differentiate between human writing and machine writing? A) By examining any suspicious references. B) By analyzing the complexity of sentence structure and grammar. C) By checking the formatting of the paper. D) The article does not provide this information. Answer: A 中文解析：根据文章，学者可以从“可疑”参考文献中发现人类写作和机器写作的差异。 5. What suggestion does Irene Glendinning of Coventry University make to combat the problem of AI-assisted cheating? A) Redoubling efforts to detect cheating using AI. B) Developing better AI writing tools for students to use. C) Providing additional training on how to use AI tools correctly. D) Creating stricter consequences for students caught cheating. Answer: C 中文解析：根据文章，Irene Glendinning提出加倍努力提醒学生作弊的后果，包括可能被开除学位，并提供更多关于如何正确使用AI工具的培训。 6. What does Thomas Lancaster, computer scientist at Imperial College London, say about universities' reaction to AI-assisted cheating? A) They are ignoring the issue. B) They are overreacting. C) They are not doing enough to prevent it. D) The article does not provide this information. Answer: B 中文解析：根据文章，Thomas Lancaster说许多大学正在因此“惊慌失措”。 7. What is the author's overall message about AI technology in academia? A) AI-powered writing tools have no place in academia. B) AI technology is beneficial for academia, but there are challenges