What AI can and cannot do
Understand AI as a drafting, comparison, and pattern-support tool, not an authority.
- useful tasks and unsafe tasks
- humanitarian examples
- when not to use AI
Free TCAA Level 1 course
AI Literacy for Humanitarian Professionals.
A practical starter course for NGO staff, local organizations, students, researchers, and consultants who want to use AI without exposing sensitive data, inventing evidence, or losing human accountability.
Status
The public course package is open as a free Level 1 resource. Use the downloads, take the self-check, then register interest if you want a paid pathway or organization workshop when enrollment is ready.
Lessons
Six lessons that teach judgment, not button-clicking.
Prompting for real work
Write prompts for reports, emails, meeting notes, work plans, and proposal sections.
- role, task, context, output
- tone and audience
- iteration without confusion
Privacy and sensitive data
Know what must stay out of public AI tools, especially field, staff, partner, and beneficiary data.
- data minimization
- anonymization limits
- safe alternatives
Check outputs before use
Use a quality-control routine for hallucination, bias, missing context, and overconfident claims.
- source checks
- claim testing
- context and power bias
Accountability and approval
Keep the human owner visible in every AI-supported product.
- review trail
- approval roles
- clear responsibility
From notes to action memo
Practice turning messy notes into a clean, cautious action memo with assumptions and next steps.
- summary structure
- risk and limitation notes
- final human edit
The responsible-use rhythm
AI supports the work. People keep the judgment.
These three moments connect the course: define the task together, protect information before tool use, and verify every output before approval.
Downloadable materials
Practical tools for the full learning pathway.
Use these files during the lessons, then keep the adapted versions for your own responsible AI workflow.
Printable guide
Quick-reference handout
A practical checklist for safe AI use, prompt structure, privacy boundaries, and final review.
CSV workbookPrompt workbook
Reusable prompt patterns for reports, proposals, meeting notes, translations, and learning briefs.
CSV auditAI readiness mini-audit
A simple team checklist for data boundaries, human review, evidence quality, access controls, and training readiness.
Question bank
Quiz question bank
Use the free Level 1 questions for study, team discussion, or a short staff learning session.
Self-check quizTake the Level 1 quiz
A non-paid knowledge check. Signed-in members can save their pass state, but no certificate is issued yet.
Completion checklistConfirm readiness
Use the learner checklist to confirm lessons, safe-use boundaries, action memo practice, and accountability commitments.
Next step
Register training interest
Tell us which paid course, live clinic, or organization workshop you want when enrollment opens.
Level 2 pathwayResponsible AI for NGOs
Move from individual AI literacy into team policy, risk controls, human review, and organizational readiness.
Learner recordOpen My Courses
Signed-in learners can continue lessons, save progress and notes, take the recorded formative assessment, and open a private learning record after completion.
What happens after course completion?
Complete every lesson and pass the signed-in formative assessment to unlock a private foundation learning record. It supports personal and professional development tracking, but it is not a paid certificate, accredited qualification, or publicly verified credential.
The 5-step safe AI routine
- Remove sensitive or identifying information before using any external tool.
- State the task, audience, context, and output format clearly.
- Ask AI to separate facts, assumptions, risks, and missing information.
- Verify claims against trusted sources or internal records before use.
- Keep final responsibility with a named human reviewer.
Private learning record now, assessed certificate later
The free pathway records lesson completion and a formative assessment pass. A paid certificate will remain separate and will open only after verified enrollment, stronger assessment evidence, review, payment, certificate issue, and public verification have been tested end to end.
Where to go next
Choose the next level without blurring the certificate boundary.
Responsible AI for NGOsFor teams that need policy, risk controls, acceptable-use rules, and accountable AI adoption.
AI for grants and donor readinessFor proposal teams that want better donor analysis and writing support without inventing evidence.
Training interest listFor paid individual learning, live clinics, modified e-courses, and organization workshops.
Important boundary
AI can support humanitarian work, but it cannot carry humanitarian responsibility.
Do not enter confidential case details, survivor information, beneficiary lists, staff files, partner disputes, unpublished donor records, or security-sensitive field information into public AI tools. Use AI for structure, drafting, comparison, and learning support, then verify everything through human review.