EigoPro 2級 読解 — AI in Everyday Life

Artificial Intelligence in Everyday Life The phrase "artificial intelligence," or AI, often makes people picture robots from science-fiction films. In reality, AI is already woven into ordinary daily life, usually in ways we barely notice. When a phone suggests the next word in a message, when a map predicts the fastest route home, or when a website recommends a film we end up loving, an AI system is quietly working in the background. These tools are popular because they are genuinely useful. AI can process huge amounts of information far faster than any human, spotting patterns that would take us years to find. Doctors now use it to help read medical images and detect diseases at an early stage. Banks rely on it to notice unusual activity that may signal fraud. For ordinary users, AI saves time by handling small, repetitive tasks, leaving people free to focus on more creative work. Still, the rapid spread of AI raises serious questions. Because these systems learn from data created by humans, they can repeat the same unfair biases found in that data. There are also worries about privacy, since AI often depends on collecting large amounts of personal information. Perhaps the deepest concern is trust: when a computer makes an important decision, it is not always easy to understand exactly how or why it reached that conclusion. Most researchers argue that the answer is not to fear or ban AI, but to use it wisely. They call for clear rules, honest information about how these systems work, and a continuing role for human judgement. AI, they suggest, should be treated as a powerful tool that supports people — not as a replacement for human thought and responsibility.

5問合格 60%以上普通

新規登録 または ログイン が必要です

この単元の問題を3問、解説つきで公開しています

2級 · 読解 · 全5問

問 1

What is the main idea of the passage?

  • AI is a dangerous technology that should be completely banned.
  • AI exists only in science-fiction films and is not yet real.
  • AI is only useful for doctors working in large hospitals.
  • AI is already a quiet part of daily life, bringing both benefits and concerns.
Phrase

AI is already woven into ordinary daily life ... in ways we barely notice

AIは既に日常に織り込まれ、ほとんど気づかれない

2級読解技術記事主旨
⚡ひとことで

記事の主旨は「AIはSFの未来でなく、既に日常生活に静かに溶け込んでいる(が利点と懸念の両方がある)」。

選択肢の解説Choice Analysis

「AI is already a quiet part of daily life, bringing both benefits and concerns.」

正解

第1段落 "AI is already woven into ordinary daily life, usually in ways we barely notice" が主旨の出発点。記事は身近なAIの例 → 利点 → 懸念 → 賢い活用、と展開する。be woven into ~ = 「〜に織り込まれる」、barely = 「ほとんど〜ない」。

  • 「AI still exists only in science-fiction films and has not yet been woven into daily life.」

    = SF映画の中だけで未実現 ━ 本文 "In reality, AI is already woven into ... daily life" と矛盾。

  • 「AI is a dangerous technology that should be banned completely rather than used with care.」

    = 全面禁止すべき危険技術 ━ 本文 "not to fear or ban AI, but to use it wisely" と矛盾。

  • 「AI is useful only for doctors in large hospitals, and has no role in ordinary daily life.」

    = 大病院の医師にだけ有用 ━ 本文は phone/map/website など一般利用も挙げる。

▦Collocation
パターン意味例
be woven into ~〜に織り込まれるwoven into daily life
barely noticeほとんど気づかないways we barely notice
work in the background裏で働くworking in the background
picture ~〜を思い描くpicture robots
in reality実際にはIn reality, AI is...
❝例文

  • AI is already part of daily life.

    AIは既に日常の一部だ。

  • It works quietly in the background.

    それは静かに裏で働く。

  • We barely notice it.

    私たちはほとんど気づかない。

💡Tip · 覚えるコツ

主旨設問の鉄則 ―― "often makes people picture X. In reality, Y" の Y (通念の修正) が主旨。誤答は本文が否定する通念 (SFだけ / 禁止すべき / 医師だけ) で誘導。記事全体 (例→利点→懸念→活用) を包む選択肢が正解。

問 2

Which everyday examples of AI does the passage give?

  • Building cars and houses entirely without any human help.
  • Cooking meals and cleaning rooms in every home.
  • Flying passenger planes across the ocean alone.
  • Suggesting words in messages, predicting routes, and recommending films.
Phrase

phone suggests the next word, map predicts the route, website recommends a film

次の語提案・経路予測・映画推薦

2級読解技術記事詳細 (身近な例)
⚡ひとことで

AIの身近な例として、メッセージの次の語の提案、最速ルートの予測、映画の推薦が挙げられている。

選択肢の解説Choice Analysis

「Suggesting words in messages, predicting routes, and recommending films.」

正解

第1段落 "a phone suggests the next word ..., a map predicts the fastest route ..., a website recommends a film" が日常のAI例。suggest = 「提案する」、predict = 「予測する」、recommend = 「推薦する」。いずれも裏で働くAIの具体例。

  • 「Building cars and houses from start to finish without any human help at all.」

    = 人の助けなしに車や家を建てる ━ 本文に建設の例なし、creative。

  • 「Cooking meals, cleaning rooms, and doing the laundry in almost every ordinary home.」

    = 全家庭で料理と掃除 ━ 本文に家事ロボットの例なし。

  • 「Flying passenger planes across the ocean alone, without any pilot on board.」

    = 旅客機を単独操縦 ━ 本文に航空の例なし、創作。

▦Collocation
パターン意味例
suggest the next word次の語を提案するsuggests the next word
predict the route経路を予測するpredicts the fastest route
recommend ~〜を推薦するrecommends a film
end up V-ing結局〜することになるa film we end up loving
in the background裏でworking in the background
❝例文

  • Your phone suggests the next word.

    電話は次の語を提案する。

  • A map predicts the fastest route.

    地図は最速経路を予測する。

  • A website recommends films.

    サイトは映画を推薦する。

💡Tip · 覚えるコツ

具体例設問の鉄則 ―― 第1段落の "when A, when B, or when C" の列挙が答えの核。誤答は本文にない別分野 (建設/家事/航空) で誘導。本文の3例 (word/route/film) を拾った選択肢が正解。

問 3

What concerns about AI does the passage describe?

  • It always explains its decisions perfectly clearly.
  • It is far too slow to process any useful information.
  • It can repeat unfair biases, threaten privacy, and make decisions that are hard to explain.
  • It can never find any patterns in large amounts of data.
Phrase

repeat the same unfair biases, worries about privacy, hard to understand how it reached that conclusion

不公平な偏りの再現・プライバシー・判断過程の不透明

2級読解技術記事詳細 (懸念)
⚡ひとことで

AIの懸念として、データの不公平な偏りの再現、プライバシー(個人情報収集)、判断過程が分かりにくい信頼の問題が挙げられる。

選択肢の解説Choice Analysis

「It can repeat unfair biases, threaten privacy, and make decisions that are hard to explain.」

正解

第3段落 "they can repeat the same unfair biases" "worries about privacy" "not always easy to understand exactly how or why it reached that conclusion" より、懸念 = 偏りの再現 + プライバシー + 判断過程の不透明 (信頼)。bias = 「偏り」、depend on ~ = 「〜に依存する」、reach a conclusion = 「結論に達する」。

  • 「It is far too slow to process useful information, and works more slowly than a human.」

    = 情報処理が遅すぎる ━ 本文 "far faster than any human" と矛盾。

  • 「It always explains the reasons for its decisions perfectly clearly to the people affected.」

    = 判断を常に明快に説明する ━ 本文 "not always easy to understand" と逆。

  • 「It can never find useful patterns in large amounts of data, however long it is given.」

    = 大量データのパターンを見つけられない ━ 本文 "spotting patterns" と逆。

▦Collocation
パターン意味例
repeat biases偏りを繰り返すrepeat the same biases
learn from dataデータから学ぶlearn from data
depend on ~〜に依存するdepends on collecting data
reach a conclusion結論に達するreached that conclusion
worries about ~〜への懸念worries about privacy
❝例文

  • AI can repeat unfair biases.

    AIは不公平な偏りを繰り返しうる。

  • It raises worries about privacy.

    それはプライバシーの懸念を生む。

  • Its decisions can be hard to explain.

    その判断は説明が難しいことがある。

💡Tip · 覚えるコツ

懸念設問の鉄則 ―― "raises serious questions" 以下の列挙 (bias / privacy / trust) を拾う。誤答は本文の利点 (fast / spots patterns) を欠点にすり替える逆転誘導。本文の3懸念をまとめた選択肢が正解。

残り2問は、解いて確かめられます

全5問すべてに、この形式の解説が付いています。 間違えた問題は記録され、あとから復習できます。

無料で登録して続きを解く

インストール不要・カード登録なし・いま全機能無料

2級の単元一覧2級の用語集