Google · Google AI Principles

Internal AI Review Process for Sensitive Applications

Medium severity
Share 𝕏 Share in Share 🔒 PDF

What it is

Google has an internal team that reviews AI applications in sensitive areas — like health and safety — against its AI Principles before deployment.

Consumer impact (what this means for users)

This provision means there is supposedly a team at Google reviewing whether AI tools in sensitive areas like health are safe before they reach you — but there is no public reporting on how many applications were reviewed, rejected, or modified as a result.

Cross-platform context

See how other platforms handle Internal AI Review Process for Sensitive Applications and similar clauses.

Compare across platforms →
Need full compliance memos? See Professional →

Why it matters (compliance & risk perspective)

The existence of a formal internal review process is notable, but the process is entirely internal with no public reporting on outcomes, creating an accountability gap that regulators and consumers cannot independently verify.

View original clause language
We have a cross-functional team that evaluates AI use cases through the lens of our AI Principles, and in particular looks at use cases that are in "sensitive areas" - including those that relate to human health and safety, and other topics that require particular deliberation. This team looks at each use case, works with relevant teams to look at mitigations, and makes recommendations based on the Principles.

Institutional analysis (Compliance & legal intelligence)

REGULATORY FRAMEWORK: This internal review process engages the EU AI Act Arts. 9 and 17 (risk management systems and quality management systems for high-risk AI providers); the NIST AI Risk Management Framework Govern function; FDA guidance on Software as a Medical Device (SaMD) pre-market review; and emerging corporate AI governance standards (ISO/IEC 42001:2023 AI Management System). No regulatory authority directly mandates this specific form of internal review, but the EU AI Act will require documented conformity assessments that this review process may partially satisfy.

🔒

Compliance intelligence locked

Regulatory citations, enforcement risk, and due diligence action items.

Watcher $9.99/mo Professional $149/mo

Watcher: regulatory citations. Professional: full compliance memo.

Applicable agencies

  • FTC
    FTC has authority to investigate whether Google's stated internal AI review process is operational and effective, as a material public representation about consumer safety practices.
    File a complaint →
  • Hhs Ocr
    Where Google AI is used in healthcare contexts, HHS OCR has jurisdiction over health data privacy and safety practices under HIPAA.
    File a complaint →

Provision details

Document information
Document
Google AI Principles
Entity
Google
Document last updated
April 29, 2026
Tracking information
First tracked
April 27, 2026
Last verified
April 27, 2026
Record ID
CA-P-003181
Document ID
CA-D-00016
Evidence Provenance
Source URL
Wayback Machine
SHA-256
01eac047cd91414b4bffbdeac9454c7595d79a555798103c33fd9d1b80ee2c7f
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Google | Document: Google AI Principles | Record: CA-P-003181
Captured: 2026-04-27 09:45:22 UTC | SHA-256: 01eac047cd91414b…
URL: https://conductatlas.com/platform/google/google-ai-principles/internal-ai-review-process-for-sensitive-applications/
Accessed: May 2, 2026
Classification
Severity
Medium
Categories

Other provisions in this document