Evaluating how explicit value constraints can be implemented, measured, and audited in real-world AI systems.
We study how documented constitutional principles, weighted rule sets with measurable compliance thresholds, affect AI system behavior and auditability.
We examine how source credibility hierarchies, attribution requirements, and factual grounding criteria can be systematically implemented and measured.
We test evaluation frameworks with defined metrics and grading scales, enabling objective assessment of constitutional adherence.
Get updates on our latest research, case studies, and insights into democratic AI systems.
Explore partnerships in constitutional AI research and evidence-based system design.