高考英语 3500 词・语境速记【187】|当机器开始思考,人该学什么 ——24 个高频词

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Artificial intelligence can now write essays, paint pictures, and write computer code. A task that once took a specialist weeks can be finished in seconds. This has raised a serious question: what should young people learn, if machines can do so much? The fear of automation is not new. Every major technology shift has made some jobs obsolete. But it has also created new ones that no one could predict.

The key is to understand what AI cannot do. It can process information, but it cannot truly comprehend human experience. It can generate text, but it cannot feel the empathy behind a doctor's comforting words. It can analyse data, but it cannot make the ethical judgment that a leader must make. The skills that remain valuable are precisely those that are hardest to quantify: creativity, judgment, and the ability to connect with other people.

This does not mean that technical skills are irrelevant. On the contrary, the ability to use AI as a tool will become increasingly important. A student who knows how to ask the right questions, how to evaluate the answers, and how to combine machine output with human insight will have a huge advantage. The danger is not that AI will replace us. The danger is that we will stop thinking for ourselves and let the machine make all our decisions.

Education must adapt. Schools should teach not only what to think, but how to think. They should encourage curiosity, not just memorization. They should help students develop a strong sense of identity and purpose, so that when technology changes again, they know who they are and what they stand for. The future belongs not to those who can compete with machines, but to those who can work with them while remaining fully human.

人工智能现在能写文章、画画、写计算机代码。一个曾经需要专家花几周的任务可以在几秒钟内完成。这提出了一个严肃的问题：如果机器能做这么多，年轻人该学什么？对自动化的恐惧并不新鲜。每次重大技术变革都让一些工作变得过时。但它也创造了没人能预测的新工作。关键是理解AI不能做什么。它能处理信息，但不能真正理解人类经验。它能生成文本，但不能感受医生安慰话语背后的同理心。它能分析数据，但不能做出领导者必须做出的伦理判断。仍然有价值的技能恰恰是那些最难量化的：创造力、判断力和与他人连接的能力。这并不意味着技术技能无关紧要。相反，使用AI作为工具的能力将变得越来越重要。知道如何提出正确问题、如何评估答案、如何将机器输出与人类洞见结合的学生将有巨大优势。危险不是AI会取代我们。危险是我们会停止自己思考，让机器做所有决定。教育必须适应。学校不仅应该教思考什么，还应该教如何思考。应该鼓励好奇心，而不只是记忆。应该帮助学生发展强烈的身份感和目标感，这样当技术再次变化时，他们知道自己是谁、代表什么。未来不属于那些能与机器竞争的人，而属于那些能与机器合作同时保持完整人性的人。