Episode 33: Ink Meets Code – AI in Writing with Naomi S. Baron

by | Mar 4, 2025

Episode Description

Summary

In this episode of AI Snacks, Anastassia and Naomi Baron explore the intersection of artificial intelligence and writing. They discuss AI’s capabilities in generating text, its implications for authorship and creativity, and the historical context of writing and plagiarism. The conversation delves into the cognitive effects of relying on AI for reading and writing, the evolving nature of literature, and the future of AI in these domains.

Naomi S. Baron is a linguist and professor emerita of linguistics at the Department of World Languages and Cultures at American University in Washington D.C. Baron earned a PhD in linguistics at Stanford University. She taught at Brown University, the Rhode Island School of Design, Emory University, and Southwestern University before coming to American University. Her areas of research and interest include computer-mediated communication, writing, and technology, language in a social context, language acquisition, and the history of English. She was a Guggenheim Fellow, Fulbright Fellow, and Semiotic Society of America president. Her book, “Always On: Language in an Online and Mobile World,” published in 2008, won the English-Speaking Union’s HRH The Duke of Edinburgh ESU English Language Book Award. Anastassia recommends her excellent new book, “Who Wrote This?”

Takeaways

  • AI can write poetry and prose, but is it literature?
  • Large language models process statistical token streams. They lack an understanding of language and human reasoning.
  • AI’s role in writing raises questions about creativity and authorship. However, it is uncertain whether writers who sue LLM makers over copyright infringements will win their cases. This is due to the nature of LLMs, which process tokens rather than words or sentences.
  • Historical perspectives show that plagiarism was once accepted.
  • Writers today may use AI as a tool, but it doesn’t replace their voice.
  • Reading experiences shape our understanding of language and culture.
  • AI can summarise texts, but it may reduce profound reading experiences.
  • The future of writing may involve collaboration between humans and AI.
  • Understanding the evolution of reading is crucial in the digital age.

Chapters

  • 00:00 Introduction to AI and Writing
  • 03:14 Understanding AI in Writing and Literature
  • 06:20 The Role of AI in Creative Processes
  • 12:36 Historical Perspectives on Writing and Plagiarism
  • 19:48 Copyright Issues and AI’s Impact on Authors
  • 24:41 The Writer’s Journey and Reader Engagement
  • 30:00 The Evolution of Reading and Cognitive Impact
  • 40:45 Future of AI in Writing and Reading

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