Provision record
OpenAI · OpenAI Safety Standards · View original document ↗

Bias evaluation to avoid stereotypes in content

Medium severity High confidence Explicitdocumentlanguage Common · 145 of 352 platforms

Key Facts

What does OpenAI rigorously evaluate content to avoid?
OpenAI rigorously evaluates content to avoid reinforcing biases or stereotypes.
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ConductAtlas Analysis

Why it matters (compliance & governance perspective)

A commitment to rigorous bias evaluation signals that content outputs are actively reviewed against a standard of stereotype avoidance, not merely passively filtered.

Consumer impact (what this means for users)

Users of OpenAI's systems can expect that content has been evaluated to avoid reinforcing biases or stereotypes.

How other platforms handle this

Hinge Medium

If Your Content is prohibited under the laws of any jurisdiction where our Services are available, we may remove it even if it is not illegal in your location.

Poshmark Medium

While we are not obligated to review any User Content posted by our Users on our Service, we reserve the right to review any User Content, with or without notice...

Medium Medium

Medium may review your conduct and content for compliance with these Terms and our Rules, and reserves the right to remove any violating content.

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▸ View Original Clause Language DOCUMENT RECORD
"
Rigorously evaluating content to avoid reinforcing biases or stereotypes.

Excerpt from OpenAI's Safety Standards

Applicable regulations

California AB 2013 AI Training Data Transparency
US-CA
DMCA
United States Federal
DSA
European Union

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-064264
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-064264
Captured: 2026-07-09 04:12:50 UTC
SHA-256: 29a3d40e8275f104…
URL: https://conductatlas.com/platform/openai/openai-safety-standards/provision/CA-P-064264/bias-evaluation-to-avoid-stereotypes-in-content/
Accessed: July 25, 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 Bias evaluation to avoid stereotypes in content clause do?

A commitment to rigorous bias evaluation signals that content outputs are actively reviewed against a standard of stereotype avoidance, not merely passively filtered.

How does this clause affect you?

Users of OpenAI's systems can expect that content has been evaluated to avoid reinforcing biases or stereotypes.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 145 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.