Constitutional AI
Learn how to implement constitutional AI to create ethical, safe, and aligned AI responses through rules-based self-critique
What is Constitutional AI?
Constitutional AI (CAI) is a prompting technique that guides AI behavior through explicit principles or rules that serve as “constitutional” guidelines. The AI is instructed to evaluate and improve its own outputs against these principles, promoting ethical, safe, and aligned responses without requiring human feedback for each interaction.
Why Use Constitutional AI?
- Ethical Alignment: Ensures AI responses adhere to defined ethical standards
- Safety Improvement: Reduces harmful, biased, or misleading outputs
- Self-Correction: Enables the model to critique and revise its own responses
- Reduced Oversight: Lessens the need for constant human review
- Customizable Values: Allows tailoring principles to specific use cases or organizational values
Basic Implementation in Latitude
Here’s a simple constitutional AI example for general conversation:
Advanced Implementation with Self-Critique
Let’s create a more sophisticated example that uses Latitude’s chain feature to implement a formal self-critique and revision process:
In this advanced example:
- Multi-Step Process: We separate response generation, critique, and revision
- Explicit Principles: Clear constitutional guidelines to evaluate against
- Structured Review: A formal process for identifying issues
- Iterative Improvement: Refinement based on self-critique
Domain-Specific Constitutional AI
Create custom constitutional principles for specific domains:
Multi-Stage Constitutional Review
For critical applications, implement multi-layered constitutional checks:
as
attribute in the <step>
tags. This allow to create isolated steps that prevent a step to inherit previous context. So each step analyze initial_draft
independently, allowing for a clean separation of concerns.Best Practices for Constitutional AI
Advanced Techniques
Dynamic Constitutional Selection
Constitutional Governance with Hierarchy
Implement organizational values with weighted principles:
Integration with Other Techniques
Constitutional AI works well combined with other prompting techniques:
- Role Prompting + Constitutional AI: Assign expert roles with ethical guidelines
- Chain-of-Thought + Constitutional AI: Apply principles to reasoning steps
- Few-Shot Learning + Constitutional AI: Provide examples of principle application
- Self-Consistency + Constitutional AI: Generate multiple responses and select the most constitutionally aligned
The key is embedding the constitutional principles at the right stage of your prompt workflow to ensure alignment without overly constraining helpful responses.
Real-World Applications
Content Moderation
Educational AI with Constitutional Safeguards
Related Techniques
Explore these complementary prompting techniques to enhance your AI applications:
Safety & Alignment
- Self-Consistency - Use multiple samples to find the most aligned responses
- Chain-of-Verification - Verify outputs against specific criteria
- Adversarial Prompting - Test constitutional robustness
Reasoning & Structure
- Chain-of-Thought - Apply constitutional thinking to reasoning steps
- Tree-of-Thoughts - Explore multiple constitutional interpretations
- Role Prompting - Combine expert roles with ethical guidelines
Meta Approaches
- Meta-Prompting - Use AI to improve constitutional principles
- Iterative Refinement - Progressive improvement of constitutional alignment
- Dynamic Prompting - Adapt constitutional principles to the context
External Resources
- Anthropic Constitutional AI Research - Original research on Constitutional AI
- AI Alignment Forum - Discussions on AI alignment techniques