Teach
We guide the agent to operate within safe boundaries using trusted sources, explicit behavior rules, and user feedback.
Safety at every step
We believe AI can improve life for everyone, which is why we must make sure it is safe for everyone.
Test
We challenge misuse scenarios, tool permissions, and critical actions with specialists before release.
Share
We use real-world feedback to make our AI safer and more useful.
Safety never ends.
Building safe AI is not a one-time check. As risks change, we renew our tests, strengthen protections, and keep human judgment behind critical decisions.
- We look for risks before release.
- Critical actions stay visible and require clear approval.
- We continuously update safeguards using real-world learnings.
A higher standard where it matters most.
Not every risk is equal. We apply stricter controls where people's safety, privacy, and freedom of choice are at stake.
Young user safety
Age-appropriate experiences, strong content boundaries, and accessible reporting channels.
Privacy and data control
Controls that show where data is used and connections that follow least-privilege access.
Authenticity and transparency
Provenance signals for AI-generated content and safeguards against deceptive use.
Fair, human-led decisions
Bias testing, explainable boundaries, and human accountability for high-impact decisions.
Controls are visible. Responsibility is clear.
Permissions
Tool and data access is scoped to the task.
Approvals
Irreversible steps do not proceed without user approval.
Records
The agent's plan, sources, and critical actions remain traceable.
Reporting
Safety feedback moves directly into the review process.