The Routledge Handbook of AI and Literature provides an invaluable resource for those interested in deepening their understanding of the variety of theories and approaches available when AI is studied or deployed in literary contexts.

Will Slocombe is Reader in English and Co-Director of the Olaf Stapledon Centre for Speculative Futures at the University of Liverpool, UK. His research interests embrace various areas of twentieth- and twenty-first century literature, primarily focusing upon science fiction representations of Artificial Intelligence, representations of technology and technological development, postmodernism, and metafictions and experimental literature.

Genevieve Liveley is Professor of Classics and Turing Fellow at the University of Bristol, UK. She is the author of Narratology (Oxford University Press, 2019) and various chapters, articles, and books on AI, robots, and cyborgs - both ancient and modern. As a narratologist, she has particular research interests in stories and their impact on futures thinking - especially in the context of emerging technologies, AI, and cyber security.

Introduction

1. Why AI and literature?

Will Slocombe and Genevieve Liveley

Section 1: AI Authors

2. The author, poor bastard: writing, creativity, AI

Caroline Basset

3. Does writing have a future?

David J. Gunkel

4. A brief history of computer-generated literature: in search of the author

Tuuli Hongisto

5. Emerging models of AI 'authorship' in popular discourse

Sara Bimo

Section 2: AI Voices

6. Oracle, echo, or stochastic parrot? who (or what) speaks in AI-generated literature?

Siebe Bluijs

7. Free spaces of imaginal adventure: voicing silence in AI and literature

Genevieve Liveley and Natalie J. Swain

8. The AI question, or what if Homer had ChatGPT?

Richard Cole

9. The voice of the platform

Laura Piippo

Section 3: AI Interrogations

10. There has never been an intelligent literature

Michael Marcinkowski

11. Shakespeare didn't brainstorm: Why literature proves that there's more to intelligence than AI

Angus Fletcher

12. A token effort? Reflections on the authoring of (science) fiction in an age of 'artificial intelligence'

Paul Graham Raven

Section 4: AI Narratives

13. AIs reading AI narratives?

Will Slocombe

14. AI 2041: critical design fiction?

Jo Lindsay Walton

15. Digital, deep fake and glitch twins in the cultural imaginaries of generative AI

Edward King

16. The rise of the artificial boyfriend: artificial partners past, present, and future

Timothy Miller

Section 5: AI Ethics

17. (Un)ethical extractions: conceptual writing, appropriation, and the poetics of the public domain

Kasia Van Schaik

18. 'Full of stories': AI, literature, and the law

Rebecca Shaw

19. Rethinking intentionality in the era of AI

Joanne Lipson Freed

Section 6: AI Interdisciplinarities

20. Computational literary studies and AI

Katherine Bode and Charlotte Bradley

21. What to expect when you're expecting: on the creative potential of generative AI

Tony Veale

22. Electricity and Alchemy: (un)explainable AI and (un)explainable literature

Genevieve Liveley

Section 7: AI Narratologies

23. Towards narrative AI studies

Torsa Ghosal

24. Towards an AI narratology: the possibilities of LLM classification for the quantification of abstract narrative concepts in literary studies

Claudia Carroll

25. Post-digital narrative analysis

Nuette Heyns

Section 8: AI Co-Creations

26. Co-creative multimodal authorship as procedural performance with DALL-E

Astrid Ensslin and Jason Nelson

27. Artificial theatres of the absurd

Boyd Branch and Piotr Mirowski

28. Artificially funny: collaborative play at the intersection of AI, literature and humour

Rachel Hamilton

29. Artificial Intelligence, the poetic process, and the critical editor

Victoria Punch

Postscript

30. Luddites, literature, and LLMs

Kate Devlin