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.
Stay ahead of the changes
Track OpenAI and get the diff the day its terms change.
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
Stay ahead of the changes

Institutional analysis available with Insight

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

3 important changes detected

4 versions captured · Last updated: June 2026

What changed OpenAI revised its Safety Standards page on June 2, 2026, removing three sentences about feedback mechanisms and testing procedures while reorganizing how it describes its safety approach. The updated version now emphasizes teaching AI to filter harmful content and respond with empathy, conducting internal evaluations with expert input on real-world scenarios, and incorporating real-world feedback to improve safety. The change restructures the presentation of safety practices without materially altering the stated commitments to safety testing or feedback integration.
Why this matters The updated Safety Standards page describes OpenAI's approach to AI safety through three primary mechanisms: teaching AI systems to filter harmful content and respond with empathy, conducting internal evaluations and working with external experts on real-world scenarios, and incorporating real-world feedback to improve safety. The revised language reorganizes how these practices are presented but does not establish new user obligations or materially alter the commitments OpenAI makes regarding safety testing or feedback incorporation.
View full change record →
What changed 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 explicit language stating that OpenAI conducts internal evaluations with experts, uses real-world feedback to improve safety, and provides transparency on deep fakes, bias evaluation, and election-related protections. This change makes the safety framework more visibly descriptive but does not materially alter OpenAI's stated safety procedures or commitments.
Why this matters This change is primarily a presentational update to OpenAI's publicly disclosed safety practices. The revised Safety Standards page now includes more explicit descriptions of how OpenAI conducts internal evaluations, incorporates real-world feedback, and addresses specific risk categories such as deepfakes, bias, and election-related content. No material change to underlying safety procedures, user rights, or obligations occurs under this update.
View full change record →

May 24, 2026 low

OpenAI updated its Safety Standards document on May 24, 2026, reorganizing how it describes its AI safety approach. Three sentences about safety testing and real-world feedback were removed, and the …

View change record →
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
Stay ahead of the changes

Monitoring

OpenAI has updated this document before. Monitor includes same-day alerts, structured change summaries, and monitoring for up to 20 platforms.

Stay ahead of the changes

Governance Intelligence

Need provision-level monitoring and regulatory mapping? Insight includes governance timelines, drift analysis, and full provision tracking.

Cross-platform context

See how other platforms handle Child safety protections enforced and similar clauses.

Compare across platforms →

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 ↗

Related Analysis

Privacy · May 3, 2026
OpenAI Privacy Policy Update May 2026: New Terms Authorize Advertiser Data Sharing

OpenAI expanded its data sharing terms to include third-party marketing partners. The updated policy authorizes the use of personal data fo…

Dependency Governance · June 11, 2026
AI Dependency Governance: How API Terms Govern Every App Built on OpenAI, Anthropic, and Google

872 provisions across 8 AI platforms. The terms your AI provider sets become the terms your product operates under.

Platform Analysis · June 12, 2026
OpenAI Changed Its Privacy Policy 4 Times in One Week. Here Is What Actually Changed.

Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.

Regulatory Analysis · June 28, 2026
The Great American AI Act, Explained: What the First Federal AI Law Would Require

The bill does not regulate most AI startups directly. But it changes the companies they depend on. Here is what the first federal AI law wo…

Regulatory Analysis · July 8, 2026
The AI Foundation Model Transparency Act, Explained

H.R. 8094 would make the FTC the referee for AI model disclosure. It also names system cards as a way to comply, which turns a voluntary in…

Archival ProvenanceSource & Archival Record
Last Captured June 2, 2026 08:59 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000822
Version ID CA-V-003297
SHA-256 1ad18787a992d535121ae6a757b2822d6ec5fbcdf93a89a2f5e8b274041235a0
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

Governance Monitoring

Monitor governance changes across the platforms you rely on.

Structured alerts for policy changes, governance events, and provision updates across 352+ platforms.

Start monitoring → Compare plans