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- This module introduces foundational AI concepts and key terminology, providing a baseline for all subsequent learning.
Upon completion of this module, you'll be able to:
- Define AI technologies and contextualize the difference between them
- Describe the benefits of some of the most recent generative and agentic AI tools
- Identify ethical and human rights concerns and how to reduce them
- Apply Human-in-the-Loop techniques to address authenticity, copyright, accuracy and reliability issues and risks
- Explore AI examples in nonprofits and discover how organizations use AI to support mission-driven work. Learn best practices today.
Upon completion of this module, you'll be able to:
- Explain how nonprofits are practically applying AI across different areas of their work.
- Identify key barriers nonprofits face when adopting AI in low-resource settings and the risks that must be managed for safe and effective use.
- Understand how core humanitarian principles (dignity, fairness, and accountability) guide the ethical use of AI in the nonprofit sector.
- Explore how AI is applied across key nonprofit impact areas (poverty alleviation, advocacy, disaster response, and conservation) through real-world case studies.
- Learn to identify tasks at nonprofits that are suitable for AI and require human insight, context, and values.
Upon completion of this module, you'll be able to:
- Apply AI as a collaborative partner that amplifies capabilities, requiring ongoing Human-in-the-Loop engagement.
- Assess opportunities to leverage AI for maximum impact in daily work and differentiate between AI as an assistant vs. AI as a tool for change management.
- Recognize the factors and limitations in selecting AI tools relevant to different roles.
- Identify role-specific tasks to implement AI.
