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The article addresses a critical imbalance where the rapid deployment of autonomous AI systems is exceeding current governance frameworks, creating a significant oversight gap. This issue directly impacts AI Safety and Policy by highlighting the urgent need for scalable regulatory mechanisms to manage risks associated with self-driving algorithms. Without addressing this divergence between implementation speed and control structures, organizations face heightened liability and ethical challenges in deploying advanced models.