2025-2026学年高二上学期期末复习·热点话题完形填空20篇（人教版） 专题一：科技伦理与人工智能 Passage 1: 算法偏见的社会影响 In the rapidly evolving landscape of artificial intelligence, a concerning issue has emerged: algorithmic bias. These biases often 1 from the data used to train AI systems, which may reflect historical inequalities or limited perspectives. When such systems are deployed in 2 areas like hiring, lending, or criminal justice, they can perpetuate and even 3 existing disparities. The case of facial recognition technology illustrates this problem vividly. Research has shown that many commercial systems exhibit 4 accuracy rates across different demographic groups. For instance, they often perform better on lighter-skinned male faces than on darker-skinned female faces. This isn't because the algorithms themselves are inherently 5 ; rather, they have been trained on datasets that lack diversity. Addressing algorithmic bias requires 6 efforts. Technologists must ensure training data represents diverse populations. Policymakers need to establish guidelines for auditing AI systems. Perhaps most importantly, we must cultivate algorithmic 7 among the public—the ability to critically question automated decisions rather than accepting them as objective truth. Some organizations are taking 8 steps. They're developing "bias bounties" programs, rewarding researchers who identify biases in algorithms. Others are creating diverse teams to design and test systems from the outset. These approaches recognize that technology isn't neutral; it reflects the values and 9 of its creators. As AI becomes increasingly integrated into daily life, confronting algorithmic bias isn't just a technical challenge—it's a 10 one. How we address this issue will shape whether AI serves to reinforce existing inequalities or helps create a more equitable society. 题号 选项 1. A. arise B. separate C. benefit D. recover 2. A. creative B. critical C. imaginary D. private 3. A. reduce B. examine C. amplify D. ignore 4. A. consistent B. unequal C. perfect D. theoretical 5. A. intelligent B. expensive C. biased D. efficient 6. A. individual B. occasional C. multinational D. multifaceted 7. A. literacy B. dependence C. superiority D. complexity 8. A. traditional B. innovative C. passive D. secret 9. A. limitations B. profits C. prejudices D. schedules 10. A. mathematical B. moral C. financial D. geological 答案与解析： A (arise from "源于") B (critical areas "关键领域") C (amplify disparities "放大差距") B (unequal accuracy rates "不等的准确率") C (根据上下文，算法本身并非有偏见) D (multifaceted efforts "多方面的努力") A (algorithmic literacy "算法素养") B (innovative steps "创新措施") C (prejudices "偏见"，与values并列) B (moral one "道德挑战") Passage 2: 数字隐私的边界 In our increasingly connected world, the concept of privacy faces unprecedented challenges. Every online interaction, from social media posts to search queries, generates data that companies collect and 1 . W ... ...
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