Obfuscation as Risk Management with AI

When telling a difficult story could destroy your life, how do you share it safely? This episode explores Daniel's proposal for an AI-powered obfuscation agent that goes beyond simple find-and-replace. We break down the quasi-identifier problem, the difference between redaction and true obfuscation, and how attention mechanisms enable context-aware entity recognition. From therapeutic disclosures to whistleblowing, we examine the engineering challenge of building a system that weighs narrative utility against identifiability — and why manual processes can't scale.