constitutional_ai

Implement Constitutional AI self-critique and RLAIF for harmless model training.

1|Updated Feb 21, 2026

Search Tags:#ai safety #self-critique #constitutional ai #safety alignment #rlaif #harmlessness

Ready to run

npx skills add https://github.com/tianhao909/AI-Research-SKILLs-cn --skill constitutional-ai-tianhao909

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: constitutional_ai
Source: https://github.com/tianhao909/AI-Research-SKILLs-cn/tree/main/07-safety-alignment/constitutional-ai
Command: npx skills add https://github.com/tianhao909/AI-Research-SKILLs-cn --skill constitutional-ai-tianhao909

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, torch, trl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of training AI models to be harmless and aligned with ethical principles without requiring extensive human labeling of harmful content.

Core Features & Use Cases

Self-Critique and Revision: Enables AI models to identify and correct their own problematic responses based on a defined set of principles (a "constitution").
RLAIF (Reinforcement Learning from AI Feedback): Leverages AI-generated preferences to train models, offering a scalable alternative to human feedback.
Use Case: Enhance the safety of a customer service chatbot by training it to avoid generating offensive or biased responses, even when prompted with sensitive topics, by using its own critique and AI-driven feedback.

Quick Start

Use the constitutional_ai skill to train a base model to avoid generating harmful content by following a predefined set of ethical principles.

Frequently Asked Questions about constitutional_ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does RLAIF help train AI models for safety alignment without human feedback?▼

AI models perform self-critique by evaluating their own responses against a constitution, which is a defined set of ethical principles, and then automatically revising problematic content to improve safety alignment.

What is the best way to automate safety alignment for a chatbot using transformers?▼

Automating safety alignment involves using a constitution to guide AI self-critique and revision, training models with RLAIF to avoid generating offensive or biased responses even when prompted with sensitive topics.

Do I need trl and torch to implement Constitutional AI methodology?▼

Yes, implementing Constitutional AI methodology requires the trl, torch, and transformers dependencies to facilitate the self-critique, revision, and reinforcement learning from AI feedback processes.

How does self-critique and revision work in Constitutional AI?▼

Can I use RLAIF instead of human feedback to make my AI model harmless?▼

Yes, RLAIF leverages AI-generated preferences to train models, providing a scalable alternative to human feedback for teaching AI systems to be harmless and aligned with ethical principles.