Success-Induced Orientation Collapse (SIOC) describes how AI-driven acceleration increases the risk of acting on degraded or outdated models of reality in rapid decision environments. Sustained success reduces the willingness to revise assumptions, leading to gradual misalignment that appears as sudden failure. AI systems, while compressing decision cycles, amplify these adaptive failures by operationalizing flawed assumptions at increasing speed, exacerbated by 'AI mystique' and premature autonomy.
John Boyd’s OODA loop highlights orientation as the critical vulnerability in AI-accelerated environments, as observation, decision, and action outpace model updates. To counteract SIOC, an Orientation Protection Protocol (OPP) activates during stable performance, requiring interrogation of success, explicit reorientation, disconfirmation, surfacing suppressed signals, and gating acceleration/autonomy. Human-in-the-Loop (HITL) systems are crucial as orientation-preserving architectures, ensuring humans interrogate assumptions and detect changes. The strategic challenge shifts from speed to disciplined orientation maintenance, as unexamined success poses the greatest risk.
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