Abol Froushan, Fellow of the Royal Society of Arts, UK

The advent of AI-assisted creativity introduces new possibilities for poetic generation, yet it remains unclear how AI poetry compares to human-authored verse in depth, resonance, and complexity. This paper presents the Poetic Intensity Measurement Framework (PIMF), a structured method for assessing poetic intensity across 15 dimensions, including creative imagination, unpredictability, emotional intensity, and sonic quality. By applying vector space modelling, we compare AI and human poetry, revealing key deficiencies in AI-generated verse, particularly in metaphorical depth, emotional resonance, and unpredictability, which hinder its ability to achieve poetic transcendence. The framework extends beyond poetry, offering applications in music, visual arts, and cinematic expression, demonstrating how poetic intensity manifests across artistic disciplines. Our findings reveal the limits of AI in replicating poetic transcendence while showcasing its potential as a collaborative tool for creative exploration. This research bridges quantitative analysis and humanistic interpretation, contributing to computational poetics, AI creativity, and machine-assisted literary analysis.

Computational Poetics, Poetic Intensity Measurement, AI-Generated Poetry, Creative Imagination in AI, Human-AI Collaboration in Literature