# Agent Governance: Why Accountability Always Stays With Humans
Agents can generate code, run tests, even merge PRs. But one thing can never be delegated: final accountability. This is the first principle of AI4SE governance.
The First Principle of Governance
Accountability always stays with humans. Loop modes can change by action, but responsibility cannot.
This isn’t a technical limitation — it’s a legal and ethical bottom line.
Governance Checklist
| Dimension | Question | Mechanism |
|---|---|---|
| Who approves merges | Who clicks merge on a PR? | Human sign-off (no Agent self-merge) |
| Who decides on release | Who triggers production deployment? | Human approval + audit log |
| Who handles security incidents | Who fixes it after an Agent makes a mistake? | Human-led remediation + Agent assistance |
| Who manages permissions | What sensitive data can the Agent see? | Least privilege + periodic review |
| Audit logging | How do you trace every step an Agent takes? | Tamper-proof logs + session records |
Common Governance Gaps
- “The Agent’s own review passed” — the same Agent both generates content and reviews it
- “It wasn’t logged, so it didn’t happen” — missing audit logs
- “Permissions were granted and never revoked” — no periodic access review
- “It’s just an experimental project anyway” — experimental projects touch production data too
References
- MIT CSAIL AI Agent Index (2025)
- “The HITL Illusion” — Static Oversight in AI Governance (Medium, 2025)