Intermediate8 min
Responsible AI Deployment
Deploy AI agents responsibly: know when NOT to use AI, disclose limitations, design for graceful failure, and establish human oversight — the engineering judgment that prevents harm.
Quick Reference
- →When NOT to use AI: safety-critical decisions, legal judgments, medical diagnoses without human oversight
- →Failure disclosure: tell users what the agent can't do and when it might be wrong
- →Graceful degradation: when the agent fails, fall back to human assistance, not silence
- →Human oversight: always provide a path to a human for high-stakes decisions
- →Feedback loops: make it easy for users to report wrong or harmful outputs
- →Monitoring: track harm metrics alongside quality metrics in production
When NOT to Use AI
| Domain | AI Role | Human Role | Why |
|---|---|---|---|
| Medical diagnosis | Suggest possibilities | Make final diagnosis | Misdiagnosis can harm patients |
| Legal advice | Research and summarize | Interpret and advise | Legal liability requires human judgment |
| Financial decisions | Analyze and present options | Make investment decisions | Fiduciary responsibility |
| Hiring | Screen for basic criteria | Interview and decide | Discrimination risk |
| Content moderation | Flag for review | Make final removal decision | Context requires human judgment |
| Crisis response | Provide resources | Handle intervention | Safety-critical, liability |
AI as assistant, not decision-maker
In high-stakes domains, AI should inform and assist human decision-makers — not replace them. The agent surfaces relevant information; the human applies judgment, context, and accountability. This isn't a limitation — it's the responsible design pattern.