Heuristically Trained AI Models for Technical Evaluation

Traditional AI models often lack transparency in candidate evaluation. This paper introduces heuristic training methods that combine domain expertise with machine learning.

The approach ensures interpretability, fairness, and adaptability while preserving predictive strength — critical factors for CTOs seeking reliable AI-driven evaluation systems.