This paper explores the creative boundaries between human-authored and AI-generated poetry under the theme Artificial vs Authentic. A curated selection of poems by a contemporary poet Fred is compared with poems produced by a state-of-the-art AI language model. The study employs computational text analysis using Python to evaluate linguistic, structural, and stylistic features, including syllable count, meter, lexical density, readability, rhythm, stress patterns, part-of-speech usage, word frequency, and sentiment polarity. While AI-generated poems exhibit greater formal regularity and readability, Fred’s work reveals deeper emotional complexity, tonal nuance, and expressive variation. The study offers insights into the nature of creativity, intention, and authenticity in the emerging space of machine-generated literature.
Author: Jaymala Chavan
Advisor: Roger F Malina
Date of Publication: April 23, 2025