AI 時代學科裂變：記憶型文科衰退，思辨型文科崛起，也許我們正在迎來“哲學復興”
Dr Xiaoyun Peng argues that the AI shock does not hit the humanities uniformly. What collapses is memory-based work — routine translation, document classification, literature sorting, contract review — because these are pattern recognition tasks at which machine learning excels. What rises is the reasoning-based humanities, philosophy above all, because every large-scale deployment of AI requires a set of ethical rules and nobody else is trained to write them. She works through autonomous driving as a modern version of the trolley problem, the authorship of generative output, and bias control in machine learning models, then turns to what AI cannot reach: subjective experience, in Thomas Nagel's sense. She notes that Google, Microsoft and OpenAI now employ ethicists with philosophy backgrounds, and that philosophy is entering schools through programmes such as P4C in Britain.
DeepSeek來了，比AI寫作業更可怕的，是孩子不會提問！
Teaching academic writing at a Shanghai university, Dr Xiaoyun Peng encouraged her students to use GPT, on the view that a paper's value lies in the question it asks rather than in its grammar. With DeepSeek putting AI within everyone's reach, teachers began to fear that students would outsource their assignments. She argues the fear is misplaced: the real deficit is that students cannot identify a question worth asking. Asked what interests them, most fall silent. She traces her own philosophical formation to her grandfather's funeral, where she found herself wondering not about death but about why people mourned him, a question about the relation between moral standing and happiness. Her prescription for schooling in the AI era: shift from acquiring answers to forming questions, from theory to experience, and from single metrics to open enquiry.