18 Total
4 High severity
12 Medium severity
2 Low severity

Key Facts

What protections does OpenAI enforce?
OpenAI enforces child safety protections.
Who does OpenAI partner with?
OpenAI partners with governments to combat disinformation globally.
What does OpenAI partner with governments to do?
OpenAI partners with governments to combat disinformation globally.
What protections does OpenAI maintain?
OpenAI maintains protections for private information.
What does OpenAI improve transparency in?
OpenAI improves transparency in AI-generated content.
What does OpenAI rigorously evaluate content to avoid?
OpenAI rigorously evaluates content to avoid reinforcing biases or stereotypes.
What does OpenAI filter as part of teaching its AI systems?
OpenAI filters harmful content and responds with empathy as part of teaching its AI systems right from wrong before deployment.
What does OpenAI respond with as part of teaching its AI systems?
OpenAI filters harmful content and responds with empathy as part of teaching its AI systems right from wrong before deployment.
What does OpenAI incorporate into its AI policy training?
OpenAI incorporates human values into its AI policy training.
Who does OpenAI work with?
OpenAI works with industry leaders and policymakers to reduce harm and protect people across critical areas.
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Summary

This document sets out OpenAI's commitments to keeping its AI systems safe and responsible — including filtering harmful content, protecting private information, and enforcing child safety protections. OpenAI publishes system cards to help users understand how its models work and works with outside experts and governments to improve its safeguards over time. Users can expect OpenAI to actively work toward greater transparency about AI-generated content.

Analysis

This document establishes OpenAI's stated safety and responsible AI standards, encompassing content controls, bias evaluation, privacy protections, and transparency mechanisms. OpenAI commits to filtering harmful content and incorporating human values into AI policy training as foundational elements of model development prior to deployment. The document establishes transparency obligations through the publication of system cards and ongoing improvements to AI-generated content disclosure. OpenAI frames its safeguard development as a continuous, iterative process combining internal evaluations and external expert testing, and situates its harm-reduction efforts within coordinated relationships with governments, industry leaders, and policymakers.

What this means for you

For individual users, this document means OpenAI maintains protections for private information, enforces child safety standards, and actively filters harmful content as part of how its AI systems are trained — not just as an after-the-fact filter. OpenAI publishes system cards, giving users a stated channel to access transparency information about its models. Users also have a basis to expect that OpenAI continues to improve disclosure around AI-generated content over time.

Institutional Analysis
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Which mapped governance frameworks each document engages, tied to the specific provisions that engage them.

3 important changes detected

6 versions captured · Last updated: September 2026

What changed OpenAI's Safety Standards page was updated on September 5, 2026. The change involved removal of several linked system cards and technical reports, and addition of a 'Load more' button to the resource list. This change affects how users and researchers discover and access OpenAI's safety documentation and model system cards.
Why this matters This change does not materially affect consumer rights, data practices, or service terms. It is a structural reorganization of how safety documentation is displayed on OpenAI's safety standards page. Users and researchers can still access the same system cards and technical reports; they are now accessed via a 'Load more' button rather than appearing in the initial list.
View full change record →
What changed In an update detected on August 19, 2026, OpenAI's Safety Standards page was reorganized to emphasize its three-pillar safety approach. The updated layout now leads with 'Safety & responsibility' and restructures content around Teach, Test, and Share phases. The page also updated its featured safety resources section, replacing older publications (parental controls from September 2025, preparedness framework from April 2025) with more recent materials (pacing model development from August 2026, safety and alignment from July 2026, context recognition from May 2026).
Why this matters The updated Safety Standards page does not materially change what OpenAI commits to or how the company operates. The change is primarily organizational and informational: the safety framework structure (Teach, Test, Share) remains the same, and the updated featured publications reflect OpenAI's ongoing safety research practices. No new obligations or restrictions are imposed on users.
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May 28, 2026 low

OpenAI updated its Safety Standards page on May 28, 2026 by reorganizing how it describes its safety approach and adding descriptive statements for three risk categories. The revised page adds …

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Featured, High severity
Featured, Medium severity

Complete Provision Index

Every distinct legal provision identified in this document. Featured provisions appear above with analysis.

18 provisions
12 featured
12 clause types
4 high severity
Disclosure and Transparency Requirements 2 1 high
Privacy Rights 1 1 high
Restricted or Prohibited Content/Industries 1 1 high
Acceptable Use Restrictions 1
Platform Discretion 1
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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
View official text ↗
CCPA/CPRA
California, USA
View official text ↗
DMCA
United States Federal
View official text ↗
DSA
European Union
View official text ↗
FTC Act Section 5
United States Federal
View official text ↗
GDPR
European Union
View official text ↗
UK GDPR
United Kingdom
View official text ↗

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Archival ProvenanceSource & Archival Record
Last Captured September 5, 2026 00:04 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000822
Version ID CA-V-006416
SHA-256 d00741045578feda2eb804fbd9d37fd40f8f7e54347f07f7ded805da6abf81eb
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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