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九年级
全一册
人教版
人与社会 发明创新 「2025北京中考」
People are talking a lot about artificial intelligence (AI), viewing it as a force that could reshape how society works. But there is something important missing from this discussion. It isn’t enough to ask how it will change us. We also need to understand how we shape AI and what it can tell us about ourselves.
Every AI model we develop mirrors our rules and expresses our beliefs. A few years ago, while looking for new workers, a famous company gave up an AI-powered tool after finding it unfavorable to women. The AI was not designed to behave this way; instead, it was influenced by the historical data (数据) favoring men. Similarly, a recent study found that lending algorithms (算法) often offer less favorable terms to colored people, worsening long-standing unfairness in money-lending business. In both cases, AI isn’t creating new biases (偏见), it is mirroring the ones that are already present.
These reflections (反映) give us an important chance to take a close look at ourselves. By making these problems seen and more pressing, AI challenges us to recognize and address what causes algorithmic bias. As AI continues to develop, we must ask ourselves how we as average people want to shape its role in society. We should not only improve AI models, but also make sure that AI is developed and used responsibly.
A number of companies are already taking action. They are judging the data, rules, and beliefs that shape the behavior of AI models. Still, we
cannot expect the companies to do all the work. As long as AI is trained on human data, it will reflect human behavior. That means we have to think carefully about the footprints of ourselves we leave in the world. I may value privacy, but if I give it up in a heartbeat to visit a website, the algorithms may make a very different judgment of what I really want and what is good for me. If I want meaningful human connections yet spend more time on social media and less time in the physical company of my friends, I am indirectly training AI models about the true nature of humanity.
As AI becomes more powerful, we need to take increasing care to read our principles (原则) into the record of our actions rather than allowing the two to diverge. Recognizing this allows us to make better decisions, but only when we are prepared to look closely and take responsibility for what we see.
5. 特色考法 写作手法题 Why does the writer introduce the two examples in Paragraph 2?
A.To suggest a solution.
B.To stress a difference.
C.To challenge a practice.
D.To support a viewpoint.
6. What does the word “ diverge ” in the last paragraph most probably mean?
A.Improve.
B.Appear.
C.Separate.
D.Repeat.
7. According to the passage, what is a good example of shaping AI responsibility?
A.Guarding one’s privacy against AI models.
B.Being mindful of our feeds into AI models.
C.Training algorithms to favor the latest data.
D.Designing algorithms to deal with unfairness.
8. Which of the following is the best title for this passage?
A.AI Isn’t the Problem; We Are
B.AI: A Tool to Reshape Our Society
九年级
全一册
人教版
人与社会 发明创新 「2025北京中考」
People are talking a lot about artificial intelligence (AI), viewing it as a force that could reshape how society works. But there is something important missing from this discussion. It isn’t enough to ask how it will change us. We also need to understand how we shape AI and what it can tell us about ourselves.
Every AI model we develop mirrors our rules and expresses our beliefs. A few years ago, while looking for new workers, a famous company gave up an AI-powered tool after finding it unfavorable to women. The AI was not designed to behave this way; instead, it was influenced by the historical data (数据) favoring men. Similarly, a recent study found that lending algorithms (算法) often offer less favorable terms to colored people, worsening long-standing unfairness in money-lending business. In both cases, AI isn’t creating new biases (偏见), it is mirroring the ones that are already present.
These reflections (反映) give us an important chance to take a close look at ourselves. By making these problems seen and more pressing, AI challenges us to recognize and address what causes algorithmic bias. As AI continues to develop, we must ask ourselves how we as average people want to shape its role in society. We should not only improve AI models, but also make sure that AI is developed and used responsibly.
A number of companies are already taking action. They are judging the data, rules, and beliefs that shape the behavior of AI models. Still, we
cannot expect the companies to do all the work. As long as AI is trained on human data, it will reflect human behavior. That means we have to think carefully about the footprints of ourselves we leave in the world. I may value privacy, but if I give it up in a heartbeat to visit a website, the algorithms may make a very different judgment of what I really want and what is good for me. If I want meaningful human connections yet spend more time on social media and less time in the physical company of my friends, I am indirectly training AI models about the true nature of humanity.
As AI becomes more powerful, we need to take increasing care to read our principles (原则) into the record of our actions rather than allowing the two to diverge. Recognizing this allows us to make better decisions, but only when we are prepared to look closely and take responsibility for what we see.
5. 特色考法 写作手法题 Why does the writer introduce the two examples in Paragraph 2?
A.To suggest a solution.
B.To stress a difference.
C.To challenge a practice.
D.To support a viewpoint.
6. What does the word “ diverge ” in the last paragraph most probably mean?
A.Improve.
B.Appear.
C.Separate.
D.Repeat.
7. According to the passage, what is a good example of shaping AI responsibility?
A.Guarding one’s privacy against AI models.
B.Being mindful of our feeds into AI models.
C.Training algorithms to favor the latest data.
D.Designing algorithms to deal with unfairness.
8. Which of the following is the best title for this passage?
A.AI Isn’t the Problem; We Are
B.AI: A Tool to Reshape Our Society
答案
B
[语篇解读] 本文主要讨论了AI如何反映人类社会中的偏见和不公平现象,并强调人类在塑造AI时需要承担的责任。
5.D 写作手法题。第二段开头提出核心观点——我们开发的每一个AI模型都反映了我们的规则和信念,随后提到招聘时由AI驱动的工具对女性更不利和贷款算法对有色人种更为不利,这两个例子印证了作者的观点“AI反映人类社会偏见”,即支撑上文的观点。故选D。
6.C 词义猜测题。根据上文内容可知,AI反映人类行为。由此推知,在AI的发展过程中,我们需要更加注意将我们的原则融入到我们的行动记录中,而不是让两者背道而驰。diverge意为“分歧;背离”,与separate意思相近。故选C。
7.B 推理判断题。根据“As long as AI is trained on human data, it will reflect human behavior. That means we have to think carefully about the footprints of ourselves we leave in the world.”可知,只要AI是基于人类数据训练的,它就会反映人类行为。这意味着我们必须认真思考我们在世界上留下的足迹。由此可知,“留意我们对AI模型的输入”是塑造AI责任感的一个好例子。故选B。
8.A 标题归纳题。通读全文可知,文章的核心观点是AI并非问题的根源,AI反映人类的规则、信念和偏见,塑造AI的关键在于人类,人类需对自身行为负责。选项A“AI不是问题,我们才是”最贴合主旨。故选A。
[语篇解读] 本文主要讨论了AI如何反映人类社会中的偏见和不公平现象,并强调人类在塑造AI时需要承担的责任。
5.D 写作手法题。第二段开头提出核心观点——我们开发的每一个AI模型都反映了我们的规则和信念,随后提到招聘时由AI驱动的工具对女性更不利和贷款算法对有色人种更为不利,这两个例子印证了作者的观点“AI反映人类社会偏见”,即支撑上文的观点。故选D。
6.C 词义猜测题。根据上文内容可知,AI反映人类行为。由此推知,在AI的发展过程中,我们需要更加注意将我们的原则融入到我们的行动记录中,而不是让两者背道而驰。diverge意为“分歧;背离”,与separate意思相近。故选C。
7.B 推理判断题。根据“As long as AI is trained on human data, it will reflect human behavior. That means we have to think carefully about the footprints of ourselves we leave in the world.”可知,只要AI是基于人类数据训练的,它就会反映人类行为。这意味着我们必须认真思考我们在世界上留下的足迹。由此可知,“留意我们对AI模型的输入”是塑造AI责任感的一个好例子。故选B。
8.A 标题归纳题。通读全文可知,文章的核心观点是AI并非问题的根源,AI反映人类的规则、信念和偏见,塑造AI的关键在于人类,人类需对自身行为负责。选项A“AI不是问题,我们才是”最贴合主旨。故选A。
