OpenAI · OpenAI Safety Standards · View original document ↗

Internal evaluations and expert testing conducted

Medium severity High confidence Explicitdocumentlanguage Common · 279 of 352 platforms
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This analysis describes what OpenAI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Combining internal evaluation with external expert testing to enhance safeguards indicates a multi-layered review process, suggesting safeguards are refined through ongoing empirical testing rather than set once.

Consumer impact (what this means for users)

Users' interactions occur within systems whose safeguards are stated to be continuously enhanced through internal evaluations and expert-led real-world scenario testing.

How other platforms handle this

Skillshare Medium

If we learn that we've collected the personal data of a child under the age of 13 or 16, as applicable, we'll take reasonable steps to delete the personal data. This may require us to delete the Skillshare account...

Mailchimp Medium

Our moderators will thoughtfully consider any explanations and supplemental information provided by the Member when deciding whether to take action or reinstate access.

Glassdoor Medium

If we become aware that a child has provided us with personal data without parental consent, we remove such data and terminate the child's account (except where we are required to retain all or a portion of such data for compliance purposes).

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▸ View Original Clause Language DOCUMENT RECORD
"
We conduct internal evaluations and work with experts to test real-world scenarios, enhancing our safeguards.

— Excerpt from OpenAI's OpenAI Safety Standards

Applicable regulations

DMCA
United States Federal
DSA
European Union
FTC Act Section 5
United States Federal

Provision details

Document information
Document
OpenAI Safety Standards
Entity
OpenAI
Document last updated
May 12, 2026
Tracking information
First tracked
July 9, 2026
Last verified
July 9, 2026
Record ID
CA-P-064257
Document ID
CA-D-00822
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
29a3d40e8275f104584cc6bdb20b0b6a52711666f2f59ee81227d1760ed522ea
Analysis generated
July 9, 2026 04:12 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: OpenAI
Document: OpenAI Safety Standards
Record ID: CA-P-064257
Captured: 2026-07-09 04:12:50 UTC
SHA-256: 29a3d40e8275f104…
URL: https://conductatlas.com/platform/openai/openai-safety-standards/provision/CA-P-064257/internal-evaluations-and-expert-testing-conducted/
Accessed: July 13, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does OpenAI's Internal evaluations and expert testing conducted clause do?

Combining internal evaluation with external expert testing to enhance safeguards indicates a multi-layered review process, suggesting safeguards are refined through ongoing empirical testing rather than set once.

How does this clause affect you?

Users' interactions occur within systems whose safeguards are stated to be continuously enhanced through internal evaluations and expert-led real-world scenario testing.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 279 platforms. See the full comparison.

Is ConductAtlas affiliated with OpenAI?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by OpenAI.