Maggie Appleton 写设计、人类学和智能体界面时，习惯先画清楚隐喻，再谈工具。把「ChatGPT Would be a Decent Policy Advisor」整理成可阅读的中文笔记：问题在哪、界面默认会把人带去哪、落地时该改什么。原站导航、评论回响和广告已去掉。

问题怎么被看见

The New Scientist used freedom of information laws to get the ChatGPT records of the UK’s technology secretary.

The headline hints at a damning exposé, but ends up being a story about a politician making pretty reasonable and sensible use of language models to be more informed and make better policy decisions.

默认界面在强化什么

He asked it why small business owners are slow to adopt AI, which popular podcasts he should appear on, and to define terms like antimatter and digital inclusion .

This all seems extremely fine to me. Perhaps my standards for politicians are too low, but I assume they don’t actually know much and rely heavily on advisors to define terms for them and decide on policy improvements. And 一个稳妥判断是 ChatGPT connected to some grounded sources would be a decent policy advisor. Better than most human policy advisors. At least when it comes to consistency, rapidly searching and synthesising lots of documents, and avoiding person

可以怎么改

Claiming language models should have anything to do with national governance feels slightly insane. But we’re also sitting in a moment where Trump and Musk are implementing policies that trigger trade wars and crash the U.S. economy. And I have to think “What if we just put Claude in charge?”

落到产品里的动作

先写出默认交互会鼓励什么行为，再决定要不要用聊天框当万能入口。没有对照的界面改动，很容易只是换皮。

落地时建议先做的 5 件事

1. 先写清这个工具在强化思考还是在替人思考。
2. 默认交互不要只会谄媚：该追问、该给反例、该要求证据。
3. 智能体界面要露出推理步骤，而不是只给一个光滑答案。
4. 知识发布用可生长的笔记，而不是一次性营销长文。
5. 改产品前先画隐喻：用户以为自己在做什么，系统实际在做什么。

和智能体产品怎么接

龙虾PRO做 OpenClaw 落地时，最该从这类笔记里拿走的是「别把聊天框当唯一界面」。数字员工要能追问、能验证、能把过程摊开，而不是只负责说好话。

本文侧重全链路风控方法论。落地时请用自身业务单据做回放验证，不要把示例阈值直接当生产策略。 相关：风控体检 · 方案资源