What happens when literature meets algorithms? Can artificial intelligence truly interpret texts, or does meaning remain an exclusively human achievement?
This episode of Literary Rides explores the rapidly evolving field of Digital Humanities and its transformation in the age of AI. From manuscript restoration and authorship attribution to distant reading, corpus analysis, and machine learning, we examine how computational methods are reshaping literary scholarship and cultural research.
The discussion traces the historical evolution of Digital Humanities from early digitisation projects to today's AI-driven research environments. Along the way, we explore influential concepts such as distant reading, stylometry, text mining, social network analysis, and natural language processing, demonstrating how scholars use computational tools to uncover patterns across vast literary archives.
At the same time, the episode confronts pressing critical questions. Can algorithms understand meaning? Do AI systems reinforce cultural biases and digital colonialism? What happens when corporate technologies increasingly shape knowledge production and interpretation?
Bringing together technological innovation and humanistic critique, this episode argues that the future of literary studies depends not on replacing human interpretation but on developing thoughtful collaborations between computational systems and human expertise.
Whether you are a student of English literature, Digital Humanities researcher, linguist, educator, or simply curious about the future of reading and interpretation, this episode offers a comprehensive introduction to one of the most significant intellectual developments of the twenty-first century.