Teach
We start by teaching our AI right from wrong, filtering harmful content and responding with empathy.
Test
We conduct internal evaluations and work with experts to test real-world scenarios, enhancing our safeguards.
Share
We use real-world feedback to help make our AI safer and more helpful.
An engineering loop
Safety isn't a final step. It's a continuous engineering cycle of training, testing, and alignment that powers every release of NGen 4.
Protecting people where it matters most
We focus our safety research and deployment guardrails on high-stakes areas that impact individuals and society.
Child safety
Reducing harmful content, escalation risk, and unsafe guidance for younger users.
Private information
Limiting the exposure of personal data and improving privacy-preserving model behavior.
Deep fakes
Building detection, provenance, and refusal patterns for deceptive synthetic media.
Bias
Evaluating model behavior across languages, cultures, and sensitive decision contexts.
Elections
Reducing manipulation, impersonation, and misleading political information.
