Anthropic's 2026 Safety Framework Explained: RSP v3.0, the Constitution and System Cards

A Stack, Not a Statement

Anthropic's safety framework in 2026 is a stack of documents, each serving a different purpose:

• RSP v3.0: The Responsible Scaling Policy. Governance framework for deployment decisions.
• Claude's Constitution: Behavioural guidelines shaping how Claude responds.
• System Cards: Model-specific documentation detailing capabilities, limitations, and risk evaluations.
• Transparency Hub: Public-facing collection of all safety and transparency materials.

The Mastering AI Tools course covers how to evaluate AI safety documentation when selecting tools.

RSP v3.0: Governance Logic

The RSP defines AI Safety Levels (ASLs) — capability thresholds that trigger increasingly stringent safeguards:

• Capability evaluations: Tests for dangerous knowledge, manipulation ability, autonomous action capability.
• Safeguard requirements: Each ASL requires specific controls on deployment, access, and monitoring.
• External review: Provisions for external evaluation of safety claims.
• Scaling commitment: Anthropic commits to not deploying models exceeding current safeguard levels.

For enterprise buyers, the RSP provides a transparent, auditable process for safety decisions.

Claude's Constitution: Behavioural Intent

The constitution governs how Claude responds to users in real time:

• Helpfulness: Genuinely useful, avoid unhelpful refusals.
• Honesty: Truthful, calibrated uncertainty, transparent limitations.
• Harmlessness: Avoid harmful outputs without being uselessly cautious.
• Values: Broader values regarding autonomy, privacy, and respect.

The constitution is publicly available, allowing users and researchers to evaluate whether Claude's behaviour matches stated intent.

System Cards: Model-Specific Evidence

System cards are the most practically useful safety documents. Each Claude model version details:

• Capabilities: What the model can and cannot do.
• Limitations: Known weaknesses and failure modes.
• Risk evaluations: Specific assessments for misinformation, dangerous knowledge, bias.
• Usage guidelines: Appropriate and inappropriate use cases.

For enterprise evaluation, the system card is the document to read. The Hallucination Spotter tool complements these evaluations.

The Transparency Hub

Anthropic's Transparency Hub is the public repository for all safety materials. What distinguishes it is depth and specificity. Visit the Learn AI section for guides on evaluating AI safety documentation from any provider.

Evaluating Claude for Regulated Work

For regulated industries, the evaluation process should include:

1. Read the system card for the specific model version you plan to use.
2. Review the RSP to understand deployment decision-making.
3. Test the model on representative examples including edge cases.
4. Evaluate data handling: Where data goes, how it is stored, whether it is used for training.
5. Compare with alternatives: Evaluate GPT-5.5 and Gemini 3.1 Pro on the same criteria.

The safety framework is necessary but not sufficient. Even the safest model can be misused, and the best documentation does not eliminate the need for your own testing and governance.

Frequently Asked Questions

Is Claude safer than GPT-5.5 or Gemini?

It depends on what you mean by 'safer.' Anthropic publishes more detailed safety documentation and has a more explicit governance framework. Claude is generally more cautious, which reduces certain risks but can also mean it declines reasonable tasks.

What is the RSP and why does it matter?

The Responsible Scaling Policy is Anthropic's framework for deciding when a model is safe enough to deploy. It defines capability thresholds, evaluation methods, and required safeguards at each level.