Artificial Intelligence; Machine Learning; Intelligent Systems; Human–AI Interaction; Cognitive Computing; AI Governance; Responsible AI in Comparison with IA
Abstract Artificial Intelligence (AI) has traditionally been understood as the design of computational systems capable of performing functions associated with human intelligence. This formulation places conceptual emphasis on the artificial construction of intelligent behavior. Rapid advances in machine learning, foundation models, generative AI, multimodal systems, and autonomous agents, however, increasingly challenge task-oriented definitions of machine intelligence. Contemporary systems can reason over heterogeneous information, generate novel content, use external tools, adapt to environments, and perform increasingly complex sequences of actions. These developments motivate a reconsideration of what should constitute the central object of AI research. This article introduces Intelligence Artificial (IA) as a proposed intelligence-centered conceptual paradigm. IA is not presented as a replacement for the established term Artificial Intelligence, nor as an existing scie...
