arXiv cs.AI· Margarita Trifonov Vadim E. Levit·· 14 小时前AI 评分31
生成悖论：以 Anti-Prompt 范式守护人类能力
The generative paradox: the Anti-Prompt paradigm for human capability
AI 导读
针对生成式 AI 教育只关注人机团队产出、忽视辅助消失后人类能力的“生成悖论”，论文提出 Anti-Prompt 范式，反转默认交互顺序：当即时生成会抢占关键的人类行动时，AI 应先为人类自主建构创造条件。作者提出发展性功能分配，将保留的人类能力与当前联合表现并列为设计目标，并用数学推理、实验科学、软件诊断和课程设计等压力测试加以具体化。
正文 · 原文
Abstract:Generative AI in education is usually judged by the output of human-AI teams. That focus overlooks a second outcome: what people can still understand, challenge, repair, and adapt when assistance changes or disappears. We call this tension the generative paradox and distinguish four manifestations: performance, assistance, ownership, and capability stock. We propose developmental function allocation, which complements operational function allocation and meaningful human control by treating retained human capability as a design objective alongside current joint performance. The Anti-Prompt paradigm reverses the default interaction order: when immediate generation would preempt a consequential human act, AI should first create the conditions for human construction. We distinguish the validity of a product, responsibility for its construction, and evidence of capability after support changes. Representative Anti-Prompts, a canonical interaction sequence, and stress tests spanning mathematical reasoning, experimental science, software diagnosis, and lesson design make these distinctions concrete. We conclude with falsifiable predictions about retained capability and a system-level hypothesis about the reproduction and distribution of expertise.
| Comments: | 17 pages, 2 figures, 2 boxes |
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.40151 [cs.AI] |
| (or arXiv:2610.40151v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.40151 arXiv-issued DOI via DataCite |
Submission history
From: Margarita Trifonov [view email]
[v1]
Thu, 29 Oct 2026 14:35:05 UTC (631 KB)
来源：arXiv cs.AI · arxiv.org