Model Adaptation · Software component
Constitutional Reward Scorer
Software componentModel AdaptationModelsarc:ConstitutionalRewardScorer
A reward scorer whose reward is a reward model's prediction of which response the principle-guided AI judge would prefer.
Responsibility. Rewards responses by predicted constitutional adherence.
Also known as: RLAIF reward, AI-feedback preference model
Variant of Reward Scorer abstract
When to choose. Choose when harmlessness rewards must scale without human labels and reflect explicit, inspectable principles rather than implicit annotator preferences.
Relationships
hosts structural
alternative to variability
Design guidance
- SHOULD be monitored for reward hacking: principles become optimization targets (Goodhart's Law) that can be gamed by over-refusal or oblique compliance.
Classification
- Patterns
- RLAIF
- Quality attributes
- Performance efficiency (ISO/IEC 25010)Transparency and accountability (NIST AI RMF: accountable and transparent)
- Risks mitigated
- Opaque implicit reward values
Sources
- Ch9.5: T. Nguyen, "Constitutional AI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.5. ISBN: 9798244538229.