跟讀練習: What is AI? - 通過影片學習英語口語
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31 句
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What is AI?
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You've probably heard a lot about artificial intelligence or AI in the last few years.
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News and social media has been flooded with stories
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and reports about AI and there's been a global conversation about the balance between risks and supporting innovation.
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But once we sweep away some of the complicated words, cliched imagery and science fiction, what is artificial intelligence?
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The term artificial intelligence can mean a lot of things and there is no single definition that is suitable for every scenario.
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But one widely accepted meaning is that AI systems are machines
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that perform tasks that normally require human intelligence and often learn from and use data to do those tasks.
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The idea of AI has been around for a long time.
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Discussions around artificial intelligence began in the 1940s and 1950s with the advent of computers
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and had already entered homes by the end of the 20th century with the AI systems inside automated vacuum cleaners.
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AI systems follow the rules of an algorithm or a method of data analysis called machine learning to make predictions and decisions.
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These systems are often used to do tasks that are traditionally thought of as requiring humans.
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So, what are the different types of artificial intelligence?
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Here are a few examples.
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Narrow AI is the type of AI that has been around the longest.
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It is an artificial intelligence system that has been developed or trained to do one specific task.
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For example, a fraud detection tool might be trained to look for patterns in a set of financial transactions
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and flag the need for investigations.
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General purpose AI involves using large quantities of data to train a system to perform a wide range of tasks.
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These AI systems can be used to generate content, translate languages or answer queries.
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They are often referred to as foundation models
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because they can provide a base system upon which more specific AI applications can be built.
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You may also have heard of the term Artificial General Intelligence or AGI.
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This is an idea that computers will soon be able to achieve general intelligence and autonomy, but this is still, as yet, very much theoretical.
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Has your council started discussions about an AI strategy?
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What existing processes in your council could benefit from AI support?
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What training or guidance might you and your team need to work effectively with AI?
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Watch more of our AI Unpack series to explore answers to some of the most common questions about AI.
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These videos explain some of the terms and concepts to help you understand how you and your organisation
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might respond to the opportunities and challenges the AI brings.
FOR YOU
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本課的詞彙與口語要點
影片中反覆出現的詞有：intelligence, artificial, task, term。 這段影片共有 31 個句子、447 個單詞可供跟讀。 講話部分時長為 2:48。 說話人語速自然，每分鐘約 160 個詞，接近日常對話。 只有 80% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。 全部 31 個句子中有 6 個是問句，適合練習疑問語調和簡短回答。
影片中的重點詞彙
影片中最難的 13 個單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| automate 動詞 | /ˈɔ.təˌmeɪt/ | 自動化 /自動化 |
| query 名詞 | /ˈkwɪɹ.i/ | 問題 /問題, 質問 /質問 |
| advent 動詞 | /ˈæd.vɛnt/ | 到來 /到來, 出現 /出現 |
| autonomy 名詞 | /ɔˈtɑ.nə.mi/ | 自治 |
| cleaner 名詞 | /ˈkli.nɚ/ | 清潔工 /清潔工 |
| translate 動詞 | /tɹænzˈleɪt/ | 翻譯 /翻譯, 譯 /譯 |
| prediction 名詞 | /pɹɪˈdɪkʃən/ | 預言 /預言, 預估 /預估 |
| sweep 動詞 | /swiːp/ | 打掃 /打掃, 掃 /掃 |
| theoretical 形容詞 | /ˌθi.əˈɹɛt.ɪ.kəl/ | 理論 /理論 |
| algorithm 名詞 | /ˈælɡəɹɪðm̩/ | 演算法, 演算法 |
| quantity 名詞 | /ˈkwɑn(t)ɪti/ | 數量 /數量, 量 |
| vacuum 名詞 | /ˈvæ.kjuːm/ | 真空 |
| scenario 名詞 | /sɪˈnɛəɹioʊ/ | 指令碼 /指令碼, 場景 /場景 |
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | You've probably heard · has been flooded · there's been |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | has been flooded · has been developed · might be trained |
需要注意的發音
- “th” 音: theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, algorithm /ˈælɡəɹɪðm̩/
- “sh” 和 “zh” 音: prediction /pɹɪˈdɪkʃən/, traditionally /tɹəˈdɪʃ.ə.nə.li/, detection /dɪˈtɛk.ʃən/
- 長單詞——注意重音位置: autonomy /ɔˈtɑ.nə.mi/, theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, traditionally /tɹəˈdɪʃ.ə.nə.li/
中文母語者容易讀錯的音：
- /v/ — 不要讀成 /w/，上齒輕觸下唇: advent /ˈæd.vɛnt/, vacuum /ˈvæ.kjuːm/
- 詞尾子音 — 要讀清楚，後面不要加母音: automate /ˈɔ.təˌmeɪt/, advent /ˈæd.vɛnt/, translate /tɹænzˈleɪt/, sweep /swiːp/
- /r/ 和 /l/ 的區別: translate /tɹænzˈleɪt/, theoretical /ˌθi.əˈɹɛt.ɪ.kəl/, algorithm /ˈælɡəɹɪðm̩/, traditionally /tɹəˈdɪʃ.ə.nə.li/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 automate, query, advent 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。