AI RESEARCH
Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective
arXiv CS.AI
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ArXi:2605.02010v1 Announce Type: new This position paper argues that reliable AI requires infrastructure for human validation of implicit knowledge. AI learns from both explicit knowledge (papers, documentation, structured databases) and implicit knowledge (reasoning patterns, debugging processes, intermediate steps). Implicit knowledge remains unexternalized because documentation cost exceeds perceived value -- yet AI learns from it indiscriminately, acquiring both beneficial patterns and harmful biases.