科技（Technology）是 Task 2 改題趨勢最快的主題：兩年前還在問 internet 利弊，現在已直接問 Will AI replace human jobs? 與 Should governments regulate algorithms?。考生詞彙若停留在 computer, smartphone, internet，整篇 essay 像來自 2010 年——直接卡 Band 5-6。

進階版要的是 artificial intelligence, automation, algorithm, data privacy, digital divide——精準對應當代爭議。

先讀 主題詞彙 · 科技（基礎），再對照 Task 2 主題 · 科技。

為什麼進階詞彙特別關鍵

當代科技題的考官多半關注 AI、隱私、社群媒體危害這三個議題。寫 technology is good/bad for society 太空洞；寫 algorithmic curation amplifies polarisation 直接 Band 8。差別不是論點深度，是詞彙精準度。

五大子類詞彙

1. AI 與自動化（AI & Automation）

| 中文 | 英文 | Band 7+ 例句 | |----------------|-------------------------------|------------------------------------------------------------------------------------| | 人工智慧 | artificial intelligence (AI) | Artificial intelligence has shifted from research curiosity to general-purpose tool within a decade. | | 機器學習 | machine learning | Machine learning models perform best where the underlying data is rich and clean. | | 自動化 | automation | Automation has reshaped factory floors more visibly than office workflows so far. | | 演算法 | algorithm | Recommendation algorithms shape political beliefs as quietly as they shape shopping baskets. | | 機器人 | robotics | Robotics is replacing physical labour faster in logistics than in care work. |

2. 資料與隱私（Data & Privacy）

| 中文 | 英文 | Band 7+ 例句 | |----------------|-------------------------------|--------------------------------------------------------------------------------------| | 資料隱私 | data privacy | Data privacy has become a competitive feature, not just a regulatory obligation. | | 個資 | personal data | Personal data routinely changes hands across hundreds of intermediaries. | | 監控 | surveillance | Pervasive surveillance has normalised behaviour change without explicit consent. | | 資安 | cybersecurity | Cybersecurity now ranks among the top boardroom risks across most sectors. | | 同意機制 | consent mechanisms | Existing consent mechanisms confuse rather than empower most users. |

3. 網路與社群（Internet & Social Media）

| 中文 | 英文 | Band 7+ 例句 | |----------------|-------------------------------|--------------------------------------------------------------------------------------| | 社群媒體 | social media platforms | Social media platforms now mediate more political discourse than traditional press. | | 假訊息 | misinformation / disinformation | Disinformation spreads measurably faster than the corrections that follow it. | | 數位足跡 | digital footprint | A teenager's digital footprint already shapes opportunities they have not yet considered. | | 網路成癮 | internet addiction | Internet addiction now appears in mainstream diagnostic manuals. | | 線上騷擾 | online harassment | Online harassment falls disproportionately on women and minority commentators. |

4. 勞動與經濟衝擊（Labour & Economic Impact）

| 中文 | 英文 | Band 7+ 例句 | |----------------|-------------------------------|--------------------------------------------------------------------------------------| | 取代工作 | displace jobs | Automation has so far displaced jobs more readily than it has created replacement roles. | | 勞動轉型 | labour transformation | Labour transformation requires the same scale of policy attention as technological change itself. | | 數位落差 | digital divide | The digital divide has shifted from access to skills as connectivity has spread. | | 零工經濟 | gig economy | The gig economy expanded fastest where labour protection was weakest. | | 知識產業 | knowledge economy | The knowledge economy rewards adaptability more than narrow specialisation. |

5. 數位治理（Digital Governance）

| 中文 | 英文 | Band 7+ 例句 | |----------------|-------------------------------|--------------------------------------------------------------------------------------| | 監管平台 | regulate platforms | Regulating platforms is harder when their reach exceeds the regulator's jurisdiction. | | 資料保護法 | data protection law | The EU's data protection law now sets the floor for global compliance practice. | | 演算法透明 | algorithmic transparency | Algorithmic transparency is the minimum precondition for meaningful oversight. | | 數位識能 | digital literacy | Digital literacy education has lagged a generation behind the platforms it must navigate. | | 倫理規範 | ethical guidelines | Ethical guidelines without enforcement amount to little more than corporate signalling. |

高頻搭配詞束

| 中文 | Collocation | 示範 | |------------------|-----------------------------------|----------------------------------------------------------------------------| | 採用新科技 | adopt new technology | Mid-sized firms have adopted new technology faster than analysts predicted. | | 蒐集資料 | collect personal data | Apps collect personal data far beyond what their stated purpose requires. | | 取代人力 | replace human labour | Automation will replace human labour selectively rather than across the board. | | 散布假訊息 | spread misinformation | Bots spread misinformation at speeds no human moderator can match. | | 加強網路安全 | strengthen cybersecurity | Boards now strengthen cybersecurity proactively rather than after breaches. | | 弭平數位落差 | bridge the digital divide | Bridging the digital divide demands skills training, not just hardware. |

避免這些被用到爛的字

| 過度使用 ❌ | Band 7+ 替換 ✓ | |------------------|-------------------------------------------------------------------------------| | technology | digital tools / information technology / emerging technologies | | the internet | online platforms / digital networks / web-based services | | computer | connected device / digital workstation / information system | | use phones | rely on smartphones / engage with mobile platforms |

提醒：當代 Task 2 科技題寫 technology is changing our life 是 2008 年水準。換成 emerging technologies are reshaping labour markets 立刻 Band 7+。

150 字示範段

題目脈絡：Some argue artificial intelligence will do more harm than good to the labour market.

The likely impact of artificial intelligence on employment is more nuanced than either utopian or apocalyptic framings suggest. Automation powered by machine learning will undoubtedly displace jobs in fields ranging from translation to entry-level legal work, but historical precedent indicates that previous waves of labour transformation ultimately created roles that earlier generations could not have named. The genuine risk lies in distribution rather than aggregate numbers: workers without digital literacy will fall behind a widening digital divide, while those who can leverage AI will see their productivity, and earnings, multiplied. Regulating platforms that deploy these systems, demanding algorithmic transparency, and funding reskilling at unprecedented scale would substantially soften the transition. Critics fear runaway disruption, yet inaction guarantees that the gains from emerging technologies accrue to capital while the costs fall on labour. Active policy is the difference.

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