R Widyanto · Zenodo (CERN European Organization for Nuclear Research) 2026 · 2026
DOI: 10.5281/zenodo.23121363
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Artificial Intelligence is increasingly capable of performing cognitive work that was previously associated primarily with human intellectual ability. Generative AI can now assist with writing, analysis, reasoning, coding, interpretation, and decision support, allowing individuals to produce sophisticated intellectual outputs that may exceed their independently demonstrated understanding. As a result, the quality of human output may become an increasingly incomplete indicator of the cognitive capability genuinely possessed by the human producing it.This conceptual opinion paper proposes Human Genuine Intelligence (HGI) as a framework for examining this emerging distinction. HGI refers to the cognitive capacity that humans genuinely possess, understand, and exercise through question formation, independent reasoning, analytical thinking, evidence evaluation, causal understanding, judgment, and cognitive revision.The paper introduces Borrowed Intelligence (BI) and the Cognitive Dependency Gap (CDG) as conceptual lenses for examining potential mismatches between AI-augmented capability and independently accountable human cognitive capability. Rather than advocating reduced use of AI, it proposes Active Cognitive Augmentation (ACA) as a model for human–AI interaction: THINK → ASK → AUGMENT → CHALLENGE → VERIFY → REVISE → DECIDE WITH WISDOM.The paper further argues that cognitive capability alone is insufficient for navigating increasingly powerful AI systems. HGI therefore needs to be considered alongside Human Wisdom, which provides direction and responsibility, and Cognitive Sovereignty, which concerns the preservation of human agency and authority over consequential goals, values, delegation boundaries, and decisions.The central challenge of the AI age is therefore not to preserve human intelligence by limiting artificial intelligence, but to strengthen human cognition, wisdom, and agency while using increasingly capable machines.
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