AI for Social Impact Learning Journey
The UNITAR x UREKA AI for Social Impact course is a practical, self-paced learning journey designed for non-technical learners. Participants explore artificial intelligence through the lens of social impact, sustainability, ethics, and real-world problem solving while developing their own guided AI-supported project proposal.
Six-Module Curriculum
Each module combines practical topics, learning outcomes, and project outputs.
Build a practical, non-technical understanding of artificial intelligence, how it works, where it fails, and how to use it responsibly for social impact.
Topics
- AI as Pattern Prediction
- Tokens & Language Models
- Generative vs Predictive AI
- Cloud vs Local AI
- Data Quality & Bias
- Hallucinations & Verification
- Synthetic Media & Trust
- Sustainable & Responsible AI
Key Learning Outcomes
- Understand core AI concepts in simple language
- Recognize hallucinations and AI bias
- Learn responsible AI-use habits
- Apply verification and fact-checking practices
Learner Outputs
Connect local challenges to the Sustainable Development Goals (SDGs) and identify where AI can responsibly support real-world impact.
Topics
- Understanding the SDGs
- Local Problems & Global Goals
- AI for Social Impact
- Problem Mapping
- AI-Fit Assessment
- Case Studies & Success Patterns
- Risk & Human Oversight
Key Learning Outcomes
- Connect community challenges to SDGs
- Assess whether AI is appropriate for a problem
- Develop a focused impact question
- Analyze real AI-for-good case studies
Learner Outputs
Transform an idea into a structured AI-for-impact project using a practical project canvas and responsible design principles.
Topics
- Project Canvas Design
- Stakeholder Mapping
- AI Capability Selection
- Responsible AI Solution Design
- Impact Metrics & Baselines
- Feasibility Testing
- Proposal Structure
Key Learning Outcomes
- Build an AI-ready project concept
- Define beneficiaries and impact metrics
- Design responsible AI interventions
- Create a structured proposal framework
Learner Outputs
Learn how to use AI as a structured drafting, storytelling, critique, and verification assistant for proposal and pitch development.
Topics
- Prompt Engineering
- Role-Based Prompting
- Storytelling Frameworks
- AI-Assisted Script Writing
- Verification & Fact Checking
- Institutional Tone & Rewriting
- Visual Prompting
- Tool Selection
Key Learning Outcomes
- Write effective AI prompts
- Build a 90-second impact narrative
- Verify AI-generated content responsibly
- Improve clarity through AI-assisted critique
Learner Outputs
Create responsible AI-assisted media assets and simple prototypes to support your social impact project proposal.
Topics
- Voice & Narration
- AI Image Creation
- Music & Audio
- Motion & Video
- Animation & Avatars
- Prototype & Demo Creation
- Ethical Media Production
Key Learning Outcomes
- Produce simple AI-assisted media assets
- Apply consent and disclosure principles
- Build a prototype or demo concept
- Prepare production-ready materials
Learner Outputs
Finalize, disclose, publish, and submit a responsible AI-supported project proposal and supporting materials.
Topics
- Editing & Final Assembly
- AI Disclosure Practices
- Content Credentials
- Publishing & Sharing
- Quality Review
- Proposal Submission
Key Learning Outcomes
- Finalize AI-supported project materials
- Apply transparent AI disclosure
- Publish supporting assets responsibly
- Submit a complete guided proposal
Learner Outputs
Ready to Build AI for Impact?
Join learners worldwide in designing responsible AI-powered solutions aligned with the Sustainable Development Goals.