Goal: Connect your AI challenge statements to SDG 3 targets — making them compelling to funders, partners, and evaluators.
The United Nations Sustainable Development Goal 3 (SDG 3) is: “Ensure healthy lives and promote well-being for all at all ages.”
Aligning your AI use cases with SDG 3:
Here are the most relevant sub-targets for social impact and health-focused organizations:
| Target | Description |
|---|---|
| 3.3 | End epidemics of communicable diseases |
| 3.4 | Reduce mortality from non-communicable diseases (NCDs) and promote mental health |
| 3.5 | Prevent and treat substance abuse |
| 3.7 | Ensure universal access to reproductive and sexual health services |
| 3.8 | Achieve universal health coverage |
| 3.c | Substantially increase health financing and health workforce |
| 3.d | Strengthen health systems and risk management capacity |
| SDG 3 Subgoal | Example AI Use Case | How AI Helps |
|---|---|---|
| 3.3: End epidemics | Predict disease spread in rural areas | AI models analyze clinic and mobility data to forecast outbreaks |
| 3.4: Mental health | Personalized therapy support chatbot | Provides daily check-ins, nudges, and early alerts |
| 3.5: Substance abuse | Predict relapse risk | Predictive AI flags disengagement patterns in youth rehab programs |
| 3.7: Reproductive health | AI triage tool for maternal care | Automates symptom assessment and referrals |
| 3.8: Universal coverage | Appointment scheduling assistant | Expands access by reducing admin bottlenecks |
| 3.c: Workforce support | AI-powered staff training | Personalized learning journeys for health workers |
| 3.d: Risk management | Crisis monitoring dashboard | Uses data streams to flag emerging public health risks |
When presenting an AI use case, shift from program-level language to SDG framing:
| ❌ Program Language | ✅ SDG 3 Language |
|---|---|
| “We want to improve youth rehab retention.” | “This initiative contributes to SDG 3.5: Strengthening prevention and treatment of substance abuse by using AI-powered motivational nudges and predictive alerts to increase retention among youth in recovery.” |