Global Artificial Intelligence and Specific Artificial Intelligence

This paper introduces the theoretical distinction between Specific Artificial Intelligence (SAI) and Global Artificial Intelligence (GAI). It traces the evolutionary roots of intelligence from biological adaptation to scientific reasoning and artificial cognition. SAI models are examined as the current dominant paradigm, oriented toward task-specific applications, while GAI is proposed as an integrative cognitive architecture capable of processing and acting upon total planetary or cosmic data systems. The paper discusses artificial consciousness, the emergence of artificial psychology, and the trajectory toward a unified intelligence system with transformative ethical and epistemological implications. The argument emphasizes the systemic transition from anthropocentric AI to post-human cognitive systems, laying the groundwork for future non-human sciences and planetary-scale decision-making.