hce_cmu
113年
英文
第 24 題
📖 題組：
The intuitive system at Amazon Fresh and Amazon Go stores allows customers to simply pick up an item and leave without traditional checkout. This system, called “Just Walk Out,” uses sensors and artificial intelligence (AI) to calculate purchases, and customers are automatically billed. However, in April, reports claimed that the system did not use AI but relied (21) 1,000 employees in India to manually verify nearly three-quarters of the transactions. Amazon quickly denied these reports, asserting that Indian employees only evaluated the system and that human reviewers were standard for ensuring accuracy in AI systems. This situation highlights a growing issue: companies making grand claims about using AI, a practice (22) “AI washing,” akin to “greenwashing” in environmental claims. It’s essential to understand what AI truly means. Though lacking a precise definition, AI refers to computers learning and solving problems after (23) training. One prominent type of AI is generative AI, which creates new contents like conversations, music scores, or pictures. AI washing takes many forms. Some companies exaggerate their AI capabilities, while others merely incorporate AI chatbots into non-AI software. According to a tech investment fund company, only 10% of tech startups mentioned AI in their (24) in 2022, but this rose to 25% in 2023 and is expected to exceed a third in 2024. Competition for funding drives companies to overstate their AI capabilities. Another tech investment firm found that 40% of companies claiming to be “AI-enabled” in 2019 did not actually use AI. The problem persists today, with companies buying “AI capabilities” but only adding chatbots to non-intelligent products. An expert highlighted that the lack of a unified definition of AI contributes to AI washing. This (25) allows for inflated claims about AI, leading to overvalued technology and unmet expectations, eroding trust in genuine AI innovations. Regulators, such as the US Securities and Exchange Commission, are beginning to address this issue, charging firms for making false AI-related claims.
The intuitive system at Amazon Fresh and Amazon Go stores allows customers to simply pick up an item and leave without traditional checkout. This system, called “Just Walk Out,” uses sensors and artificial intelligence (AI) to calculate purchases, and customers are automatically billed. However, in April, reports claimed that the system did not use AI but relied (21) 1,000 employees in India to manually verify nearly three-quarters of the transactions. Amazon quickly denied these reports, asserting that Indian employees only evaluated the system and that human reviewers were standard for ensuring accuracy in AI systems. This situation highlights a growing issue: companies making grand claims about using AI, a practice (22) “AI washing,” akin to “greenwashing” in environmental claims. It’s essential to understand what AI truly means. Though lacking a precise definition, AI refers to computers learning and solving problems after (23) training. One prominent type of AI is generative AI, which creates new contents like conversations, music scores, or pictures. AI washing takes many forms. Some companies exaggerate their AI capabilities, while others merely incorporate AI chatbots into non-AI software. According to a tech investment fund company, only 10% of tech startups mentioned AI in their (24) in 2022, but this rose to 25% in 2023 and is expected to exceed a third in 2024. Competition for funding drives companies to overstate their AI capabilities. Another tech investment firm found that 40% of companies claiming to be “AI-enabled” in 2019 did not actually use AI. The problem persists today, with companies buying “AI capabilities” but only adding chatbots to non-intelligent products. An expert highlighted that the lack of a unified definition of AI contributes to AI washing. This (25) allows for inflated claims about AI, leading to overvalued technology and unmet expectations, eroding trust in genuine AI innovations. Regulators, such as the US Securities and Exchange Commission, are beginning to address this issue, charging firms for making false AI-related claims.
(24)
- A baskets
- B retreats
- C pitches
- D gutters
思路引導 VIP
想像你是一位創業者，今天你要去見一群掌握著幾千萬資金的投資人，你必須準備一份具備強烈說服力的口頭報告或企劃，向他們解釋為什麼你的產品值得投資。在商務英語中，這種專門為了「說服投資人掏錢」而設計的演示或提案，通常會用哪一個特定術語來稱呼呢？
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AI 詳解
AI 專屬家教
商業與創業脈絡的詞彙精準度
你能精準識別出這個單字，老師感到非常欣慰！這題選擇 (C) pitches 完全正確。在商業與新創（startups）的領域中，pitch 並非指球場上的投球，而是指「提案」或「推銷簡報」。文中提到「投資基金公司」與「爭取資金（competition for funding）」，這些關鍵字都緊扣著新創公司向投資人推銷點子的行為，因此在「提案」中提到 AI 是非常符合邏輯的。
題目鑑別度與難度切入點
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