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一个面向从业者的便携工作坊

面向一线移民和难民服务的 AI 素养

一个简短、便携的工作坊，帮助服务移民和难民的组织的一线工作人员用好 AI 工具：在 AI 擅长的任务上放心使用，在它会出错的任务上谨慎使用。它不依赖特定机构，任何组织都可以用自己的人员和自己的政策来开展。

这是关于什么的

这个工作坊讲的是生成式 AI：那些能生成文字的聊天机器人和写作助手，比如 ChatGPT、Claude、Gemini 和 Microsoft Copilot。它不是讲每一种 AI。重点是你的员工和服务对象已经在输入内容的那些工具。

这是给谁的

安置个案工作者、福利和资源导航员、法律援助接案人员、ESL 教师、健康导航员和志愿者。不需要任何技术背景。

如何开展

第 1 部分是安全主线。作为完整工作坊大约需要 2 到 3 小时，你也可以只挑选自己需要的模块。第 2 部分是一条更短的实用路径，大约一小时，可以分组开展，也可以作为参考资料发下去。把最后的基本规则卡片打印出来，发给整个团队。

这是一份研究原型课程。它是一种培训辅助材料，不是经过认证的课程、临床方案，也不能替代你所在组织自己的政策。使用前请结合你的场地和督导加以调整。

如何使用这个工作坊

从第 1 部分开始

按顺序完成九个安全模块，或者只打开你最需要的那一个。

阅读证据，开展活动

每个模块都附有支撑它的研究，以及引导者可以带领的简短活动。

带回你的团队

打印基本规则卡片，并与你的团队分享第 2 部分工具包。

第 1 部分

理解并使用 AI

五个简短的模块，讲这个工具能做什么、怎么核对它，以及工作坊结束后怎么把安全使用维持下去。进阶页面解释模型作答时到底在做什么，之后是实战工具箱。

用好这个工具

让它长久保持

进阶

模型到底在做什么

可选内容。两个配套页面，写给想弄清模型作答时到底在做什么、以及各类模型之间有何不同的人。

实战工具箱

打开实用工具包

省时的日常辅助、跨语言工作、用大白话讲的代理式 AI、云端与数据共享、版本管理，以及一份负责任地选择工具的清单。附带提示词迷你指南和可直接使用的配方卡片。

日常工作

进阶使用

妥善管理

分析与表达

第 2 部分

AI 与伦理

四个模块，讲这项技术可能对你所服务的人造成的伤害。先是服务对象的数据，然后是偏见，接着是这个工具从哪里来、代价是什么，最后是语言鸿沟与获得口译员的权利。

打印给你的团队 我们团队的 AI 基本规则

一张可打印的单页卡片：AI 用来做什么、哪些必须始终核实、哪些绝不能输入 AI 工具，以及获得口译员的权利。把它打印出来，并结合你所在机构使用的工具和语言加以调整。

打开可打印卡片 →
如果你的机构想更进一步：指南与政策模板

这个工作坊涵盖了主流非营利 AI 课程共有的那条主线：用通俗语言讲基础、核实每一项输出、保护服务对象的数据、警惕偏见、采用一份书面的可接受使用政策、让使用与使命一致并以人为本，以及在进入高风险的个案工作之前先从低风险任务做起。它补上了那些课程在移民和难民服务方面往往讲得不够的部分：语言鸿沟、与移民身份相关的隐私与监控、服务对象语言里的错误信息，以及作为法律义务的获得口译员的权利。如果你的机构想更进一步，或想撰写自己的政策，下面的资源是可靠的起点。

  • Switchboard（难民安置办公室（Office of Refugee Resettlement）技术援助中心）。The Use of Artificial Intelligence in Resettlement Work。 switchboardta.org
  • Legal Services Corporation。Considerations for Integrating Generative AI into Legal Aid。 lsc.gov
  • Data and Society。Poverty Lawgorithms（Michele Gilman 著），含一节关于移民监控的内容。 datasociety.net
  • NTEN。Artificial Intelligence Framework for an Equitable World。 nten.org
  • NTEN。Generative AI Use Policy Template for the Social Sector（2024）。 nten.org (PDF)
  • TechSoup。How to Create a Generative AI Use Policy。 techsoup.org
  • Project Evident 与 Stanford HAI。Equitable AI Adoption。 projectevident.org
  • UNESCO。AI Competency Framework for Teachers（2024）。 unesco.org
来源

这个工作坊是一份研究原型课程，不是经过认证的课程，也不是临床方案。下面的发现来自同行评审的研究，注明为灰色文献的除外。关于具体语言的一些说法，是从“AI 在资源较少的语言里表现更差”这一总体规律推断出来的；对于你的许多服务对象所用的语言，逐语言的证据目前还不存在。使用前请结合你所在机构的政策加以调整。

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