Human and Artificial Intelligence: A Comparative Dimensional Analysis
International Journal of Innovative Science and Research Technology May 18, 2026 DOI: 10.38124/ijisrt/26may467 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Qualitative Peer reviewed |
|---|---|
| Key points | Argues that human and artificial intelligence are incommensurable, belonging to different ontological orders: AI surpasses humans in speed and pattern recognition but lacks qualia, intentionality, emotional depth, embodiment, and moral agency. Concludes the future lies in complementarity rather than replacement. |
Abstract
The relationship between human intelligence and artificial intelligence (AI) is often framed competitively, but a rigorous comparative analysis reveals fundamental differences in origin, substrate, consciousness, embodiment, intentionality, emotionality, creativity, ethical reasoning, learning efficiency, autonomy, and spiritual capacity. Drawing on theological perspectives (Okoronkwo & Dike, 2025; Olaore et al., 2014), empirical AI studies (Chen et al., 2025; Lima et al., 2023), and computational cognitive science (Boden, 2004), this study demonstrates that AI surpasses human intelligence in speed and pattern recognition yet lacks subjective experience (qualia), intentionality, emotional depth, embodiment, and moral agency. As Olaore et al. (2014) state, "the limitation of AI should be easily understood since it stems from a 'limited' being, human" (p. 2). Boden (2004) adds that while AI can "appear to be creative" through exploratory processes, genuine creativity requires "conscious self-reflection" and evaluation (p. 21). The article concludes that human and artificial intelligences are incommensurable, belonging to different ontological orders, and that the future lies in complementarity, not replacement. A schematic visualization of hypothetical intelligence evolution (Figures 1 and 2) illustrates task-specific performance trends while underscoring qualitative incommensurability.