The Increase of Facial Recognition Systems in Cities and Shops
城市與商店中人臉辨識系統的增加
Introduction
Local governments and private companies in Brazil and the United Kingdom have introduced large facial recognition networks to improve public safety and prevent theft in stores.
巴西與英國的地方政府及私人公司引入了大型人臉辨識網路,旨在提升公共安全並防止商店盜竊。
Main Body
In São Paulo, the 'Smart Sampa' project has installed 50,000 cameras, with plans to reach 100,000 by 2028. This system connects public cameras with private sensors to find missing people and criminals. Officials claim this is necessary due to high crime rates; however, the Centre for Security and Citizenship Studies (CESeC) emphasizes that there is no clear drop in murders or thefts. They argue that because organized crime has become more professional, simple street surveillance is less effective.
在聖保羅,「Smart Sampa」計畫安裝了 50,000 支攝影機,並計劃在 2028 年前達到 100,000 支。此系統將公共攝影機與私人感測器連接,用於尋找失蹤人口與罪犯。官員聲稱由於犯罪率高,此舉是必要的;然而,安全與公民研究中心 (CESeC) 強調,謀殺或盜竊案並沒有明顯下降。他們認為,由於有組織犯罪已變得更加專業,單純的街道監控效果已然降低。
Similarly, the UK retail sector uses a system called 'Facewatch' to alert police when repeat offenders are spotted in shops. While the British Retail Consortium asserts that rising crime caused this change, civil rights groups argue that it is an unfair violation of privacy. Furthermore, there is a legal gap because the rules for police use of biometrics may not apply to private businesses.
同樣地,英國零售業使用一套名為「Facewatch」的系統,當在商店發現慣犯時會通知警方。雖然英國零售聯盟主張犯罪率上升導致了這一改變,但民權團體認為這是對隱私的不公平侵害。此外,由於警方使用生物辨識的規則未必適用於私人企業,因此存在法律漏洞。
Both countries face serious criticism regarding racial bias and technical errors. In Rio de Janeiro, reports show that about 80% of wrong arrests caused by facial recognition involved Black citizens. Likewise, evidence from the UK shows higher error rates for Black and Asian people. Consequently, critics argue that the huge spending on these systems—such as Rio's 670 million reais investment—wastes money that should be used for public services and legal reforms.
兩國在種族偏見與技術錯誤方面均面臨嚴重批評。在里約熱內盧,報告顯示約 80% 因人臉辨識導致的誤捕涉及黑人公民。同樣地,來自英國的證據顯示,黑人與亞洲人的錯誤率較高。因此,批評者認為在這些系統上的巨額支出——例如里約投資的 6.7 億雷亞爾——浪費了應當用於公共服務與法律改革的資金。
Conclusion
The current situation shows a conflict between governments trying to provide security and the growing opposition from legal and civil rights groups.
目前的情況顯示,政府嘗試提供安全保障與法律及民權團體日益增加的反對聲音之間存在衝突。
Vocabulary Learning
🚀 The 'B2 Logic' Shift: Moving Beyond Simple Sentences
At the A2 level, you likely say: "Crime is high. The government installed cameras." To reach B2, you must connect these ideas using Complex Contrast and Cause. The article provides perfect examples of how to move from 'basic' to 'sophisticated'.
⚡ The Power of 'However' vs 'While'
Notice how the text balances two opposite opinions. Instead of using 'but' every time, it uses these high-level anchors:
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The 'Mid-Sentence' Pivot: "Officials claim this is necessary... however, the Centre for Security... emphasizes that there is no clear drop."
- B2 Tip: Use
howeverto signal a complete change in direction. It acts like a speed bump, telling the reader: "Wait, here is the other side of the story."
- B2 Tip: Use
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The 'Simultaneous' Contrast: "While the British Retail Consortium asserts that rising crime caused this change, civil rights groups argue..."
- B2 Tip: Starting a sentence with
Whileallows you to present two opposing facts in one single, elegant breath. It shows you can handle complex sentence structures.
- B2 Tip: Starting a sentence with
🛠️ Precision Vocabulary: Replacing 'Say'
An A2 student uses the word 'say' for everything. A B2 student uses Reporting Verbs to show the intent of the speaker. Look at these upgrades from the text:
| A2 Word | B2 Upgrade | Context from Article |
|---|---|---|
| Say | Claim | "Officials claim this is necessary" (implies it might not be true) |
| Say | Emphasize | "CESeC emphasizes that there is no clear drop" (adds strong importance) |
| Say | Assert | "The Consortium asserts that..." (confident, formal statement) |
| Say | Argue | "Critics argue that the huge spending..." (presenting a reasoned case) |
📉 The 'Result' Chain
B2 fluency is about showing how one thing leads to another. The article uses Consequently to bridge the gap between a fact (technical errors) and an opinion (wasted money).
The Logic Flow:
Fact (Racial Bias) Connecting Word (Consequently) Conclusion (Waste of money)