Toward Safe Artificial General Intelligence: Collective Narrow AI Collaboration with an Artificial Prefrontal Cortex

Abstract

General intelligence remains in its developmental stage. At present, most artificial intelligence systems are still categorized as narrow AI, capable of performing only specific and well-defined tasks. To move toward more general intelligence, a promising approach is through collective collaboration among multiple narrow AIs. However, the uncontrolled growth of such systems could pose significant risks in the future. To mitigate these risks, we propose the implementation of an artificial prefrontal cortex mechanism within the collaborative framework of narrow AIs. This mechanism functions as both a safety controller and a task switcher, determining which narrow AI should be activated for a given context. Through this architecture, the collaborative system may evolve toward adaptive and safe general intelligence, which is capable of coordination and reasoning, yet constrained by ethical and operational safeguards.