# Responsible AI Observatory

Standards, research and board education connecting Responsible AI principles to accountable governance.

## Understand the standard

Start with the governance questions: who owns the system, what authority has been delegated, what controls apply, and what evidence supports each conclusion?

## Evaluate governance

Distinguish public disclosure coverage, organizational readiness and independent evaluation. Each answers a different question and requires different evidence.

## Govern continuously

Connect systems, owners, controls, evidence, decisions and remediation. Review changes in authority, dependencies and risk throughout the system lifecycle.

## Explore

- [Responsible AI Observatory](/responsible-ai)

- [Standards inform governance. Scope determines applicability.](/responsible-ai/standards)

- [Research that makes governance examinable.](/responsible-ai/research)

- [Make risk accountable.](/responsible-ai/risks)

- [Build judgment before the consequential decision.](/responsible-ai/board-education)

- [Make the method visible.](/responsible-ai/methodology)

- [Comparable evidence comes before comparison.](/responsible-ai/benchmarks)