Most AI control models focus on restricting behavior. But control without structural definition creates systems that appear governed while remaining fundamentally ambiguous.
Many AI systems appear safe because they reduce visible failures. But reducing visible risk is not the same as building structurally safe systems.
Most AI safety approaches focus on controlling behavior. But without a clear structure of responsibility and interaction, safety becomes containment—not alignment.
This is not a collection of articles. This is a structured attempt to redefine how humans interact with AI.
AI alignment focuses on behavior control. But what if the real problem is not behavior, but the structure of interaction itself?
企業導入 AI 失敗的真正原因，幾乎從不是模型本身。問題在架構、在流程、在人——但我們的注意力都放在錯誤的地方。