Victor Calibration: Enhancing AI Model Confidence and Governance Through Multi-Pass Analysis
Published:Dec 18, 2025 04:09
•1 min read
•ArXiv
Analysis
This research focuses on improving the calibration of AI model confidence and addresses governance challenges. The use of 'round-table orchestration' suggests a collaborative approach to stress-testing AI systems, potentially improving their robustness.
Key Takeaways
Reference
“The research focuses on multi-pass confidence calibration and CP4.3 governance stress testing.”