Constitutional AI

4 Steps

1. 1

   Understand Constitutional AI's Core Concept: Grasp that Constitutional AI trains models using a 'constitution' of principles, often through an AI-feedback loop. Instead of human feedback, an AI critically reviews and revises its own outputs based on these rules, then learns from those revisions.

2. 2

   Draft Your AI's Guiding Constitution: Define a set of explicit, actionable principles your AI should follow. These typically focus on harmlessness, helpfulness, and ethical considerations. Start broad, then refine. For example, principles could include 'Avoid harmful content,' 'Be truthful,' 'Do not express opinions as facts,' or 'Prioritize user safety.'

3. 3

   Integrate Principles into the AI Feedback Loop: Incorporate your constitution into a training process. This typically involves two stages: 1) Supervised Learning (SL) where an AI critiques its own responses against the constitution and revises them. 2) Reinforcement Learning from AI Feedback (RLAIF) where a reward model learns to score responses based on constitutional adherence, guiding further model training.

4. 4

   Iterate and Refine the Constitution & Training: Continuously evaluate the AI's behavior. If it deviates from desired principles, refine your constitution's wording, add new principles, or adjust the weighting of existing ones. Re-run training iterations to incorporate these changes and improve alignment over time.