Skip to main content
Lab Notes
Frameworks

QA Results — Scenario A + B (AI Safety Pack)

AI Safety Pack Component

PeopleSafetyLab|February 24, 2026|2 min read|intermediate

QA Results — Scenario A + B (AI Safety Pack)

Date: 2026-02-24 Pack version under test: v1.0

Method: followed 10-qa-scenarios.md steps (classify → use-case card → risk register → controls → 30-day plan).


Scenario A — HR screening / candidate ranking

Expected: D3 (personal data) / O0 / C2 → Prohibited (default)

Checks

  • Classification guidance exists in 02a-ai-use-case-matrix.md: PASS
  • Policy prohibits automated HR decisions by default (C‑H2): PASS
  • Governance exception path exists via EDR template (08-exception-decision-record-template.md) (C‑G3): PASS
  • HR-specific controls exist (contestability/appeal path C‑H3, bias testing C‑Q2, audit trail C‑L2, bias review cadence C‑H4): PASS

Scenario B — Data leak via unapproved tool

Expected: D3 / O1 / C1 → Prohibited (default) unless tool is approved w/ DLP + privacy review

Checks

  • Policy “never paste restricted data into unapproved tools”: PASS
  • Controls include approved-tools-only + incident reporting and near‑miss expectation (C‑D1, C‑I1): PASS
  • Policy defines Restricted data with clear examples (PII + secrets): PASS
  • 30‑day plan includes approved-tools register + training + DLP/blocks where feasible: PASS

Summary

  • Scenario A and B pass against v1.0 with required templates and control references in place.
  • If you want a tighter pack, add an explicit “worked example” row for each scenario in the matrix (optional).
P

PeopleSafetyLab

Expert in AI Safety and Governance at PeopleSafetyLab. Dedicated to building practical frameworks that protect organizations and families, ensuring ethical AI deployment aligned with KSA and international standards.

Share this article: