背景知識
今日は Writing Task 2（Advantage-Disadvantage Essay） の練習です。テーマは Artificial Intelligence in the Workplace（職場におけるAI）。これまで練習してきた Opinion Essay（賛成/反対）や Discussion Essay（両論+自分の意見）とは異なり、この形式では原則として 賛否を選ばずに両面を客観的・バランスよく提示する ことが求められます。
1. Advantage-Disadvantage Essay の構成（Introduction で両面を予告 → Body 1 = Advantages → Body 2 = Disadvantages → Conclusion で要約）
2. 設問パターンの判別 — 意見を求められているか（"outweigh"）どうかで結論の書き方が変わる
3. Band 6.0 必須語彙（automation / displacement / algorithmic bias / accountability など）
Band Descriptor（評価軸）
| 評価軸 | 内容 | Band 6.0 に必要なこと |
|---|---|---|
| TR | Task Response — 課題への正確な応答 | 利点・欠点を両方とも十分に展開し、バランスを保つ |
| CC | Coherence & Cohesion — 論理的流れ | 段落ごとに1テーマ、接続表現を正確に使う |
| LR | Lexical Resource — 語彙の豊富さ | アカデミック語彙を使い、パラフレーズできる |
| GRA | Grammatical Range & Accuracy | 複雑文と単文を組み合わせ、基本文法が正確 |
設問パターンの見分け方
| パターン | 設問例 | 求められる立場 |
|---|---|---|
| A | "What are the advantages and disadvantages of this?" | 両面を客観的に提示。結論で軽く見解を添えるのは可だが必須ではない |
| B | "Do the advantages outweigh the disadvantages?" | 両面を提示した上で、最終的にどちらが優勢かを明確に結論づける |
• Introduction で "I strongly believe..." と強い立場を宣言する → Opinion Essayと混同（TRスコア低下）
• 1つの段落にAdvantagesとDisadvantagesを混在させる → CCスコア低下
• 設問が意見を求めていないのに結論で断定的に一方を支持する → TRスコア低下
問題
Artificial intelligence (AI) is increasingly being used to perform tasks that were previously carried out by humans in various workplaces.
What are the advantages and disadvantages of this development?Give reasons for your answer and include any relevant examples from your own knowledge or experience.
Task Type: Advantage-Disadvantage Essay（意見必須ではない・パターンA）
構成ガイド
Band 5.5 → "In conclusion, AI has advantages and disadvantages."（要約が浅い・具体性なし）
Band 6.0 → "In conclusion, while displacement and limited judgement present genuine challenges, the efficiency gains suggest that AI's overall impact is, on balance, a positive one."
有用な語彙・表現
| 語彙・表現 | 日本語訳 | 使用例 |
|---|---|---|
| automation | 自動化 | Automation has transformed manufacturing processes. |
| efficiency | 効率性 | AI systems offer remarkable gains in efficiency. |
| repetitive / mundane tasks | 単調な繰り返し作業 | AI frees employees from mundane, repetitive tasks. |
| job displacement | 雇用の喪失・置き換え | Job displacement is a major concern among low-skilled workers. |
| retrain / retraining | 再訓練（する） | Workers may need retraining to remain employable. |
| algorithmic bias | アルゴリズムの偏り | Algorithmic bias can lead to discriminatory outcomes. |
| accountability | 説明責任 | Questions of accountability arise when AI makes flawed decisions. |
| contextual judgement | 文脈的な判断力 | AI often lacks the contextual judgement humans possess. |
| higher-value work | より付加価値の高い業務 | Employees can focus on higher-value, creative work. |
| on balance | 全体として見ると | On balance, the benefits appear to outweigh the drawbacks. |
接続表現（Advantage-Disadvantage Essay 頻出）
| 機能 | 表現 | 使い所 |
|---|---|---|
| 両面の予告 | This essay will examine both the benefits and drawbacks of... | Introduction の締め |
| Advantages導入 | On the positive side / One major advantage is | Body 1 の冒頭 |
| 追加 | Moreover / Furthermore / In addition | 段落内で論点を追加するとき |
| Disadvantagesへの転換 | Nevertheless / However / On the other hand | Body 2 の冒頭 |
| 懸念の追加 | There is also the risk of / Another drawback is | Body 2 内で2点目以降を追加 |
| 結論（控えめな見解） | In conclusion / To summarise / On balance | Conclusion の冒頭 |
ヒント
Advantage-Disadvantageエッセイは「賛成/反対」ではなく「良い面と悪い面を両方バランスよく提示する」ことが目的。Introductionで強い立場を宣言しすぎないこと。
各Bodyは片方のテーマだけに集中させる（Body 1はAdvantagesのみ、Body 2はDisadvantagesのみ）。1つの段落に両方を混ぜるとCCスコアが大きく下がる。
Advantages（利点）で使える論点候補:
- 効率性・生産性の向上 → 24時間稼働・疲労なし・高速処理
- 正確性・一貫性 → 製造業での組立作業などでのヒューマンエラー削減
- 人間をより創造的な業務へ解放 → 単調作業をAIに任せることで満足度・生産性向上
Disadvantages（欠点）で使える論点候補:
- 雇用喪失 → 低スキル・定型業務従事者の失業リスク
- 判断力・共感力の欠如 → カスタマーサービスや人事評価での限界
- アルゴリズムの偏り・説明責任の問題 → 偏った学習データによる差別的な結果
[Introduction]
"The integration of artificial intelligence into professional environments has accelerated dramatically over the past decade. This essay will examine both the benefits and drawbacks of this technological shift."
[Body 1 — Advantages]
"On the positive side, AI systems offer remarkable gains in efficiency and consistency. [具体例: 製造業のロボット] Moreover, by automating mundane tasks, AI frees employees to focus on more creative responsibilities."
[Body 2 — Disadvantages]
"Nevertheless, this shift is not without significant drawbacks. The most pressing concern is job displacement... [具体例] In addition, AI systems can lack the contextual judgement that certain tasks demand..."
[Conclusion]
"In conclusion, while displacement and the limitations of automated judgement present genuine challenges, the gains in efficiency suggest that AI's overall impact on the workplace is, on balance, a positive one."
モデル解答（Band 7.5〜8.0 相当）
The integration of artificial intelligence into professional environments has accelerated dramatically over the past decade, reshaping the way tasks once performed exclusively by humans are now completed. This essay will examine both the benefits and drawbacks of this technological shift before concluding that, on balance, the advantages are likely to outweigh the disadvantages provided the transition is carefully managed.
On the positive side, AI systems offer remarkable gains in efficiency and consistency. Unlike human workers, algorithms can operate continuously without fatigue, processing vast quantities of data in a fraction of the time it would take a person. In manufacturing, for instance, robotic systems perform repetitive assembly tasks with a level of precision that virtually eliminates costly errors. Moreover, by automating mundane and repetitive duties, AI frees employees to focus on more creative and strategic responsibilities, potentially increasing job satisfaction as well as overall productivity.
Nevertheless, this shift is not without significant drawbacks. The most pressing concern is job displacement, particularly among workers in routine, low-skilled roles such as data entry or basic customer service, who may struggle to find alternative employment without retraining. In addition, AI systems can lack the contextual judgement and empathy that certain tasks demand; a customer with a complex grievance, for example, is often better served by a human representative than an automated chatbot. There is also the risk of algorithmic bias, whereby flawed training data leads to discriminatory outcomes in hiring or performance evaluation, raising serious ethical questions about accountability.
In conclusion, while the displacement of workers and the limitations of automated judgement present genuine challenges, the substantial gains in efficiency and the opportunity for employees to engage in higher-value work suggest that AI's overall impact on the workplace is a positive one, provided that governments and companies invest adequately in retraining programmes.
モデル解答の解説
Introductionで "This essay will examine both the benefits and drawbacks of this technological shift" と両面を検討することを予告し、Body 1でAdvantagesのみ、Body 2でDisadvantagesのみを扱い混在させていない。設問が意見を強く求めていないため、結論では "on balance" という控えめな表現にとどめている。
チェックポイント: 自分のエッセイでAdvantagesとDisadvantagesが別々の段落に完全に分離されているか確認する。
使用した接続表現（7種類）:
| 表現 | 機能 | 段落 |
|---|---|---|
| On the positive side | Advantages段落の導入 | Body 1 |
| Moreover | 追加情報 | Body 1 |
| Nevertheless | Disadvantages段落への転換 | Body 2 |
| In addition | 追加情報 | Body 2 |
| There is also the risk of | 3つ目の懸念点を導入 | Body 2 |
| In conclusion | 結論を導入 | Conclusion |
| provided that | 条件を示す | Conclusion |
参照語の例: "these concerns" / "this technological shift" / "this shift" で段落間の論理的な流れを維持している。
| 語彙・表現 | 日本語訳 | なぜ高スコアか |
|---|---|---|
| reshaping the way tasks are completed | タスクの遂行方法を再形成する | "changing how tasks are done" の格調高い言い換え |
| operate continuously without fatigue | 疲労なく継続的に稼働する | "work all the time" の学術的表現 |
| virtually eliminates costly errors | コストのかかるミスをほぼ排除する | "almost removes mistakes" のパラフレーズ |
| contextual judgement and empathy | 文脈的な判断力と共感力 | 人間とAIの違いを的確に表す重要語彙 |
| flawed training data leads to discriminatory outcomes | 欠陥のある学習データが差別的な結果を招く | アルゴリズムバイアスを説明する専門的表現 |
- 分詞構文: "…has accelerated dramatically over the past decade, reshaping the way tasks once performed exclusively by humans are now completed"
- whereby 節（因果関係）: "…the risk of algorithmic bias, whereby flawed training data leads to discriminatory outcomes…"
- 条件節（provided that）: "provided that governments and companies invest adequately in retraining programmes"
- セミコロン（強調・追加）: "…certain tasks demand; a customer with a complex grievance, for example, is often better served by…"
- 関係代名詞節: "…low-skilled roles such as data entry or basic customer service, who may struggle to find alternative employment"
よくある日本人のミス
| ミス | 原因 | 正しい書き方 |
|---|---|---|
| I strongly believe AI is good for workplaces. | Opinion Essayとの混同 | This essay will examine both the benefits and drawbacks of this development. |
| AI increases efficiency, but it also causes job losses, which is a problem.（1段落に混在） | 段落構成の理解不足 | Body 1 = Advantagesのみ、Body 2 = Disadvantagesのみと明確に分離する |
| In conclusion, AI is definitely better than humans at everything. | 設問が意見必須でないのに断定しすぎる | In conclusion, on balance, the benefits of AI appear to outweigh the drawbacks, provided that adequate safeguards are in place. |
| AI has advantages. For example, robots. AI has disadvantages. For example, job loss.（羅列のみ） | 因果関係・説明の展開不足 | 具体例に "for instance" や "which means that" を添えて論点を展開する |
| I think AI is useful because it can do many things. | 主観表現の使い過ぎ・語彙が単調 | It could be argued that AI is beneficial, as it can perform a wide range of tasks with precision. |
| AI can replace human in many jobs. | 冠詞 "humans"（複数形）の脱落 | AI can replace humans in many jobs. |
次のステップ
次回予告（火曜）: Reading — Matching Headings & True/False/Not Given（テクノロジー・労働分野のパッセージ）
自己評価
エッセイを書いた後に記入してください。データはブラウザのローカルストレージに保存されます。
自分の回答（エッセイ全文）:
気づき・メモ: