摘要:2026年考研考試即將開始,小編為大家分享2026考研英語二圖表作文預測:公眾對人工智能發展最大的擔憂分布,下面是詳細內容。
預測七:公眾對人工智能發展最大的擔憂分布
Directions: Write an essay based on the chart below. In your essay, you should
1) describe and interpret the chart,
2) and give your comments.
Write your answer in about 150 words.

參考范文:
This pie chart shows what people are most worried about regarding AI development. The biggest concern is job loss, which makes up 40% of all responses. Next is the risk to data privacy, accounting for 30%, followed by the misuse of technology like deepfakes at 20%. Algorithmic bias is less of a worry but still notable, making up 8%.
These worries show that technological progress has both good and bad sides. People’s fear of losing their jobs comes from changes in the job market—more and more routine work is now done by AI. The high concern for privacy and technology misuse means people are more aware of digital safety and right behavior in the AI age. Interestingly, while experts often talk about algorithmic bias, ordinary people care less about it. This is probably because its impact is not so easy to see.
So, to deal with these public worries, we need not only technical protections but also active policies. For example, training programs can help people learn new skills, and strict laws can set rules. In this way, AI can develop in a trustworthy way and bring benefits to society.
譯文:
該餅狀圖顯示了人們對人工智能發展的主要擔憂。最大的顧慮是失業問題,占所有反饋的40%。其次是數據隱私風險,占30%,隨后是深度偽造等技術濫用,占20%。算法偏見雖關注度較低但仍值得注意,占比8%。
這些擔憂表明技術進步具有雙重性。人們對失業的恐懼源于就業市場的變革——越來越多的常規工作正被人工智能取代。對隱私和技術濫用的高度關注,意味著公眾在AI時代對數字安全與科技倫理的認知正在提升。值得注意的是,雖然專家常討論算法偏見,但普通民眾對其關注有限,這很可能是因為其影響尚未顯性化。
因此,要化解公眾憂慮,我們不僅需要技術防護,更需出臺前瞻性政策。例如通過職業技能培訓幫助人們掌握新技能,同時建立嚴格的法律法規體系。唯有通過技術與制度創新協同發力,才能確保人工智能在可信可控的軌道上發展,最終造福人類社會。
希望以上信息對2026考研的同學有所幫助,文末“資料下載”可以免費下載完整版。
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