Exploring AI alignment, bias mitigation, and human-centered AI safety architectures
Epistemic & psychometric layer: Rules and measurements that check whether an AI’s reasoning stays oriented, coherent, and aligned with human values.MoE (Mixture of Experts): Many small specialist models coordinated by a router, instead of one all-purpose model.-RAG (Retrieval-Augmented Generation): The model looks up verified sources at answer time, instead of “guessing” from memory.
Distillation: Compressing the useful behavior of a large model into a smaller, efficient model.Agency drift: When a system’s behavior starts to pursue unintended strategies or goals.Governance-legible: Decisions and safety controls are traceable and explainable to auditors, boards, and regulators.