This publication-stage manuscript argues that AI governance should be understood not only as compliance or risk management, but as the design of pathways that sort people, assign consequence, and make some forms of challenge harder than others. The trap is not decorative language here. It names arrangements that appear neutral while quietly prearranging burden, friction, and exposure.
Its strongest through-line is an anti-trap model of governance: institutions should be designed so that classifications can be reconstructed, thresholds can be contested, and stop conditions can interrupt harm before it hardens into routine procedure. In that frame, familiar reassurances like “human in the loop” matter less as slogans than as questions about who can actually slow, review, or reroute a system.
The title’s provocation is intentional and requires framing. “Boob” is not being used as a personal insult, but as a structural position inside systems of misrecognition, blame, and distributed capture. That rhetorical wager is part of the manuscript’s argument, not a detachable flourish.
This entry is presented as publication work in development rather than as a finished book. The manuscript already has a serious governing argument and substantial material, but further editorial containment is still needed to sharpen audience, chapter economy, and final package.