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D3OECD AILit — Designing AI, Competency 3
AI for Community Problems
Design Thinking Meets AI
AI can help solve real community problems — but only if we design solutions thoughtfully. Good AI design starts with understanding the problem, considers who is affected, thinks about what data is needed, and addresses ethical concerns before building anything.
AI Solution Canvas
Design an AI solution for a community problem by filling in all 5 sections.
1. What problem?
2. What data needed?
3. What does AI do?
4. Who benefits / risks?
5. Ethical concerns?
Responsible AI Design Process
1. Define the problem — Start with the human need, not the technology. What specific problem are we solving?
2. Identify data needs — What data would the AI need? Is it available? Is it ethical to collect?
3. Design the solution — What should AI do vs. what should humans do? Keep humans in the loop for critical decisions.
4. Consider stakeholders — Who benefits? Who might be harmed? Are any groups excluded?
5. Address ethics — Privacy, bias, transparency, accountability — build these in from the start, not as an afterthought.
2. Identify data needs — What data would the AI need? Is it available? Is it ethical to collect?
3. Design the solution — What should AI do vs. what should humans do? Keep humans in the loop for critical decisions.
4. Consider stakeholders — Who benefits? Who might be harmed? Are any groups excluded?
5. Address ethics — Privacy, bias, transparency, accountability — build these in from the start, not as an afterthought.
Start with People, Not Technology
The best AI solutions start with deep understanding of the people affected. Technology is a tool — the design process ensures it’s used responsibly and effectively.
Check Your Understanding
1. What should come first when designing an AI solution?
2. Why should you consider stakeholders?
3. When should ethical concerns be addressed?
4. What is Design Thinking?
Answer all questions. You need 70% to pass.