Human gates in Responsible AI: who carries the decision?
Author: INFRA editorial team · Expert review: Domain SME review (human governance context) · published 2026-09-15 · updated 2026-09-15
AI accelerates drafting, extraction, mapping, test creation and documentation. Accountability stays with humans: a named human reviews every regulatory interpretation, architecture decision, risk approval and production release.
The hard boundary
No agent makes autonomous legal, regulatory, AML/KYC, credit, underwriting, HR or medical decisions. It may retrieve information, draft, run checks and propose actions. Authorized humans review context, conflicts and evidence and carry the decision. High-risk or unclear cases go to a manual queue.
Practical gates
- Use-case classification before any access (prohibited/high-risk/transparency) with qualified legal.
- Evaluation with ground truth before every pilot; no release after a failed critical eval.
- Visible uncertainty, refusal and escalation as mandatory agent behaviour.
- Logged approvals with a named approver instead of silent automation.
These principles flow into every INFRA offer; the catalogue provides details.