Contemporary global forces, particularly artificial intelligence and cultural interconnectedness, challenge traditional societies to maintain cultural authenticity while adapting to rapid transformation. This study examines Arabic poetry as a paradigmatic case of how cultural traditions can preserve their essential character while continuously evolving through dynamic engagement with external influences. Tracing the trajectory from pre-Islamic Jahiliyya poetry to contemporary AI-assisted verse creation, this analysis reveals that Arabic poetry's remarkable continuity stems not from static preservation but from its capacity for contrapuntal growth—absorbing Persian, Greek, European, and now digital influences while maintaining distinctive linguistic, prosodic, and conceptual frameworks rooted in the Qur'anicpoetic synthesis. The tradition demonstrates that cultural authenticity emerges through creative adaptation rather than isolation. By examining key historical moments—the Qur'anic transformation, Abbasid cosmopolitanism, Andalusian innovation, and digital revolution—this study illustrates how Arabic poetry functions as "cultural DNA" that encodes Arab identity while remaining responsive to changing circumstances. The research draws on empirical studies of AI translation systems and contemporary diasporic poetry to demonstrate adaptive mechanisms. The findings suggest that successful cultural preservation requires active engagement with modernity rather than defensive withdrawal, offering a model for how traditional cultures can thrive in globalized contexts. As artificial intelligence challenges human creativity, Arabic poetry's fourteen-century dialogue between tradition and innovation provides crucial insights into maintaining cultural specificity while participating in global cultural exchange. This dynamic evolution strengthens cultural identity by demonstrating its adaptability and enduring relevance across technological and social transformations
Building similarity graph...
Analyzing shared references across papers
Loading...
Dhiffaf Ibrahim Al-shwillay
University of Baghdad
INTERNATIONAL JOURNAL OF PROFESSIONAL STUDIES
Building similarity graph...
Analyzing shared references across papers
Loading...
Dhiffaf Ibrahim Al-shwillay (Wed,) studied this question.
synapsesocial.com/papers/68d4508231b076d99fa58227 — DOI: https://doi.org/10.37648/ijps.v19i01.025