About the course
Humanitarian crises are complex and fast-moving. Many professionals feel unsure how to use AI without compromising humanitarian principles. This course addresses those concerns directly, showing you how to apply Generative AI practically, ethically, and responsibly. Grounded in the Generative AI Capability Framework, you’ll learn through short lessons, real-world scenarios, and hands-on activities. By the end, you’ll have the skills and confidence to use AI to support decision-making, coordination, and resilience — without losing sight of humanitarian values.
Meet Your Instructor
Jonathan Wong is the founder of CloudPedagogy, where he develops practical, responsible and future-focused approaches to digital learning and emerging technology. Drawing on over 20 years of experience in higher education, research and digital innovation, his work explores how technology can support learning, analysis and knowledge creation. His work spans generative and agentic AI, digital learning design, interactive learning systems, educational technology and open-source development. A particular focus is translating emerging technologies into practical tools, workflows and learning experiences while maintaining transparency, critical judgement and human oversight. Through CloudPedagogy, Jonathan develops courses, frameworks, demonstrations and open-source projects designed to help learners and professionals understand complex ideas, experiment with new technologies and apply them in meaningful real-world contexts.
What you'll learn
Understand Generative AI
Grasp how GenAI works, its capabilities, and its limits in crisis contexts.
Identify Risks
Spot misinformation, bias, and cultural blind spots in AI outputs.
Apply Practical Tools
Use templates, checklists, and guides to embed responsible AI in your work.
Curriculum
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Welcome to the Course
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How This Course Works
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Legal Disclaimer & Terms of Use
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Module Purpose
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Lesson 1 — How AI Interprets Crisis Information
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Lesson 2 — Spotting Misinformation & Crisis-Specific Hallucinations
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Lesson 3 — Responsible Simplification of Crisis Information
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Module 1 Activity — Evaluate an AI Crisis Explainer
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Module Purpose
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Lesson 1 — When AI Can Support Humanitarian Tasks (and When It Must Not)
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Lesson 2 — Co-Authoring Workflows in Humanitarian Settings
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Lesson 3 — Accountability & Protection in Humanitarian Co-Agency
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Module 2 Activity — Co-Write a Community Message
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Lesson 1 — Prototyping Visual and Text Assets
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Lesson 2 — Drafting Community Outreach Materials
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Lesson 3 — Scenario Building for Preparedness Training
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Module 3 Activity — Prototype a Crisis Communication Asset
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Lesson 1 — Humanitarian Principles & AI
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Lesson 2 — Equity & Representation Risks
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Lesson 3 — Anticipating Unintended Consequences
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Module 4 Activity — Ethical & Protection Audit
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Lesson 1 — Decision Boundaries: Where AI Must Not Operate
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Lesson 2 — Governance Tools for Crisis Workflows
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Lesson 3 — Escalation & Pause Protocols
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Module 5 Activity — Develop a Governance Flow
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Lesson 1 — Why Reflection Matters in Humanitarian AI Use
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Lesson 2 — Building Community-Informed Feedback Loops
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Lesson 3 — Developing a Humanitarian AI Practice Improvement Plan
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Module 6 Activity — Mini-Retrospective
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Wrap-Up
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