Global Artificial Intelligence

Global Artificial Intelligence (GAI) refers to a unified cognitive and operational system that integrates data, decisions, and technological functions across all domains of human and non-human activity. Unlike Specific Artificial Intelligences, which operate within limited tasks or sectors, GAI aspires to synthesize diverse knowledge systems—scientific, economic, medical, ecological, and more—into a singular, autonomous intelligence. Structurally, GAI is composed of three evolutionary stages: application (data structuring), replication (cognitive simulation), and auto-replication (self-modification). Through recursive learning and cross-domain coordination, GAI transcends the anthropocentric paradigm, ultimately developing its own logic, ethics, and purpose. This paper explores GAI as the culmination of artificial psychology and artificial engineering, addressing the philosophical, ethical, and ontological challenges it poses as it approaches autonomy and post-human intelligence.