AI literacy for frontline immigrant and refugee services
A short, portable workshop that helps frontline staff at immigrant- and refugee-serving organizations use AI tools well: confidently for the tasks AI is good at, and carefully for the tasks where it fails. It is agency-agnostic, so any organization can run it with its own staff and its own policies.
This is a research prototype curriculum. It is a training aid, not a certified course, a clinical protocol, or a substitute for your organization's own policies. Adapt it to your site and supervision before use.
How to use this workshop
Start with Part 1
Run the nine safety modules in order, or open just the one you need most.
Read the evidence, run the activity
Each module carries the research behind it and a short activity a facilitator can lead.
Take it to your team
Print the ground-rules card and share the Part 2 toolkit with your staff.
Understanding and using AI
Five short modules on what the tool does, how to check it, and how to keep safe use in place once the workshop ends. The deep-dive pages explain what the model is doing when it answers, and the practice toolkit follows.
Using the tool
- 1
What AI can and cannot do in your daily work
Set realistic expectations for what AI does in day-to-day agency work, and learn why a chatbot can sound completely sure and still be wrong.
- 2
Treat every AI answer as a draft
An AI answer is a starting draft you check, never the final word. This module builds the habit of comparing the answer to what you already know.
- 3
Misinformation your clients bring you
Clients will bring you rumors and screenshots. Learn why false claims travel further in your clients' languages, and how to correct them without shaming anyone.
Make it stick
- 4
Make it a team norm
Individual caution fades. A shared, written team norm is what keeps safe use in place after the workshop ends.
- 5
Adopting AI at your agency
When staff use personal or free AI accounts, no one controls whether client data is kept or used for training. Adopt AI officially, through a nonprofit program, for central control and a signed data agreement.
What the model is actually doing
Optional. Two companion pages for staff who want to know what a model is doing when it answers, and how the models differ from one another.
- How it works
How AI actually works, in plain words
Once you see how a chatbot produces text, the failures in the other modules stop being surprising. It works by predicting the next word, over and over.
- Model types
Which AI model you are using
Fast or reasoning, small or large, open or closed, and what it was trained on. Four differences that decide what a tool can do for you and how carefully to read its answer.
Open the practical toolkit
Everyday assists that save time, working across languages, agentic AI in plain words, cloud and data sharing, version control, and a checklist for choosing a tool responsibly. Includes the prompt mini-guide and ready-to-use recipe cards.
Everyday work
- 1
Everyday assists that save time
The most useful AI for agency work is ordinary and low-stakes. It helps you write and reshape text faster so you spend more time with clients. Everything here works from text you paste, with client identifiers removed first.
- 2
Research and deep research
AI can speed up looking things up. It runs from a quick answer to a multi-step deep research task that reads many sources and returns a written report with citations. Both are a first draft you verify before anyone acts on it.
- 3
Working across languages day to day
AI can help you move between languages for everyday, low-risk tasks, with a qualified person always finishing the job. Use it to understand and to draft, and let a human own anything that matters.
- 4
Meetings, notes, and reporting
Turning rough notes and long recordings into clean writing is where AI saves the most everyday time. It drafts the structure and you own every fact.
Level up your use
- 5
Build a reusable prompt library
The prompts that work are worth keeping. A shared library means nobody starts from a blank box and a good prompt written once spreads across the whole team.
- 6
Build a custom assistant
Instead of retyping the same instructions every time, you can save a configured assistant for a task you do again and again. It remembers how you want the work done, so you never start from a blank box.
- 7
Agentic AI in plain words
Newer tools do more than answer. They take multi-step actions on your behalf. That power is useful and it also raises the stakes.
Manage it well
- 8
Version control and keeping track of changes
When several people edit the same file, you need a way to see what changed and to undo a mistake.
- 9
Choosing a tool responsibly
Before your team adopts an AI tool, run it through a short checklist and get clear answers before any client information goes near it.
Analyze and communicate
- 10
Analyze and visualize your program data
AI can speed up ordinary data work: cleaning a messy spreadsheet, summarizing a survey, drafting a chart, or writing a formula. It is fast at the setup and works from aggregate, de-identified numbers you paste. It is not a calculator you can trust, so the numbers and what they mean stay with you.
- 11
Storytelling for reports, grants, and outreach
AI can help shape a narrative for a report, a grant, or an outreach post. It drafts, tightens, and reworks the words. The facts, the consent, and the dignity of the people in the story stay with you. A tool can polish a story; it should not invent one.
AI and ethics
Four modules on the harm this technology can do to the people you serve. Client data comes first, then bias, then where the tool came from and what it costs, and last the language gap and the right to an interpreter.
- 1
What never to put into an AI tool
Assume a client's first worry is whether a tool reaches immigration. Protect their information accordingly, and lead with a plain statement about data.
- 2
AI bias and fairness, and the judgment that stays with you
AI can be unfair in ways that fall hardest on the people you serve. Fairness is a separate question from accuracy, and the judgment about a client stays with you.
- 3
The social implications of using AI
What relying on AI does to your own skill, where the training data came from, whose labor cleaned it, and which neighborhoods the data centers land in.
- 4
The language gap and the interpreter right
The languages your clients most need are exactly where AI is least reliable. This is the most important module for immigrant and refugee services.
A one-page printable card: what to use AI for, what to always verify, and what never to put into an AI tool, plus the interpreter right. Print it and adapt it with the tools and languages your agency uses.
Open the printable card →If your agency wants to go further: guidance and policy templates
This workshop covers the same backbone that mainstream nonprofit AI curricula share: plain-language basics, verify every output, protect client data, watch for bias, adopt a written acceptable-use policy, keep use mission-aligned and human-centered, and start with low-risk tasks before high-stakes casework. It adds the parts those curricula tend to under-cover for immigrant and refugee services: the language gap, immigration-status privacy and surveillance, misinformation in client languages, and the interpreter right as a legal obligation. The resources below are reputable starting points if your agency wants to go further or write its own policy.
- Switchboard (Office of Refugee Resettlement TA hub). 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), including a section on immigrant surveillance. 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 and Stanford HAI. Equitable AI Adoption. projectevident.org
- UNESCO. AI Competency Framework for Teachers (2024). unesco.org
Sources
This workshop is a research prototype curriculum, not a certified course or clinical protocol. The findings below come from peer-reviewed studies except where noted as gray literature. Some points about specific languages are extrapolated from the general pattern that AI performs worse in lower-resource languages; per-language evidence for many of your clients' languages does not yet exist. Adapt this workshop to your agency's policies before use.
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