Safety & responsibility
webCredibility Rating
High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: OpenAI
This is OpenAI's public-facing safety landing page; useful as an entry point to their safety infrastructure and Preparedness Framework, but substantive detail is found in linked documents rather than this overview page.
Metadata
Summary
OpenAI's safety hub outlines their multi-stage approach to AI safety through teaching (value alignment and content filtering), testing (red teaming and preparedness evaluations), and sharing (real-world feedback loops). It covers key concern areas including child safety, deepfakes, bias, and election integrity, and links to their Preparedness Framework and related safety documentation.
Key Points
- •Three-phase safety approach: Teach (human values, content filtering), Test (red teaming, preparedness evals, system cards), Share (safety committees, feedback loops)
- •Addresses specific harm domains: child safety, private information, deepfakes, bias, and election integrity
- •Links to the updated Preparedness Framework (Apr 2025) which governs how OpenAI evaluates catastrophic risks from frontier models
- •Emphasizes iterative, ongoing safety work rather than one-time deployment checks
- •Connects to a dedicated deployment safety hub and published system cards for specific models
Cited by 4 pages
| Page | Type | Quality |
|---|---|---|
| Should We Pause AI Development? | Crux | 47.0 |
| AI Risk Activation Timeline Model | Analysis | 66.0 |
| AI Governance and Policy | Crux | 66.0 |
| RLHF | Research Area | 63.0 |
Cached Content Preview
OpenAI
Safety
# Safety at every step
We believe in AI’s potential to make life better for everyone, which means making it safe for everyone
## Teach
We start by teaching our AI right from wrong, filtering harmful content and responding with empathy.
Read more
## Test
We conduct internal evaluations and work with experts to test real-world scenarios, enhancing our safeguards.
Read more
## Share
We use real-world feedback to help make our AI safer and more helpful.
Read more
## Safety doesn’t stop
Building safe AI isn’t one and done. Every day is a chance to make things better. And every step helps anticipate, evaluate, and prevent risk.
Teach
Filter data
OpenAI Policies
Human values
Test
Red teaming
System cards
Preparedness evals
Share
Safety committees
Alpha / Beta
GA
Feedback
## How we think about safety and alignment
[Learn more](https://openai.com/safety/how-we-think-about-safety-alignment/)
## Protecting people where it matters most
We work with industry leaders and policymakers to reduce harm and protect people across critical areas.

#### Child safety
Read more

#### Private information
Read more

#### Deep fakes
Read more

#### Bias
Read more

#### Elections
Read more
## Learn more

[Introducing parental controls\\
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ProductSep 29, 2025](https://openai.com/index/introducing-parental-controls/)

[Our updated Preparedness Framework\\
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Public
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