AI Containment

AI Containment refers to strategies and protocols designed to restrict an AI system's capabilities and influence, preventing unintended consequences or harmful behaviors. These methods include sandboxing, access controls, and kill switches. By implementing containment measures, developers aim to ensure AI systems operate safely within intended boundaries, minimizing risks to humans and society while allowing beneficial functions to proceed securely.