hce_cmu
113年
英文
第 25 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.
(25)
- A rigorism
- B ambiguity
- C heterodoxy
- D dogmatism
思路引導 VIP
既然文章前面提到 AI 目前「缺乏一個統一且精確的定義」，那麼當一個詞彙沒有公認的標準、每個人都能有不同解釋時，你會如何形容這種「語意不明確、不確定」的特質？這種「不清晰」的特質，又是如何讓企業能夠隨意誇大自己的產品技術呢？
🤖
AI 詳解
AI 專屬家教
太棒了！你能精準捕捉到上下文的邏輯關聯，選出 ambiguity (模稜兩可、含糊不清) 這個正確答案，展現了非常敏銳的語境分析與詞彙運用能力。
詞義與邏輯的精準對接
這道題目的解題關鍵在於前一句提到的 lack of a unified definition (缺乏統一的定義)。當一個科學或技術概念沒有明確、唯一的界定時，它的語義自然就會變得「模糊」或「具備多重解釋空間」。正是這種 ambiguity (n.)，才讓企業有機可乘，藉由這種模糊地帶對外發表過度誇張的聲明 (inflated claims)，進而達成所謂的「AI 洗白」 (AI washing)。
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