Routledge Handbook of AI and Literature

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 20th- and 21st-century literature, with a primary focus on 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 (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.

• Introduction1. Why AI and literature?Will Slocombe and Genevieve LiveleySection 1: AI Authors2. The author, poor bastard: writing, creativity, AI Caroline Basset3. Does writing have a future? David J. Gunkel4. A brief history of computer-generated literature: in search of the author Tuuli Hongisto 5. Emerging models of AI ‘authorship’ in popular discourseSara BimoSection 2: AI Voices6. Oracle, echo, or stochastic parrot? who (or what) speaks in AI-generated literature? Siebe Bluijs7. Free spaces of imaginal adventure: voicing silence in AI and literatureGenevieve Liveley and Natalie J. Swain 8. The AI question, or what if Homer had ChatGPT? Richard Cole9. The voice of the platform Laura PiippoSection 3: AI Interrogations10. There has never been an intelligent literatureMichael Marcinkowski 11. Shakespeare didn’t brainstorm: Why literature proves that there’s more to intelligence than AI Angus Fletcher12. A token effort? Reflections on the authoring of (science) fiction in an age of ‘artificial intelligence’Paul Graham RavenSection 4: AI Narratives13. AIs reading AI narratives?Will Slocombe14. AI 2041: critical design fiction? Jo Lindsay Walton15. Digital, deep fake and glitch twins in the cultural imaginaries of generative AIEdward King16. The rise of the artificial boyfriend: artificial partners past, present, and futureTimothy MillerSection 5: AI Ethics17. (Un)ethical extractions: conceptual writing, appropriation, and the poetics of the public domain Kasia Van Schaik18. ‘Full of stories’: AI, literature, and the law Rebecca Shaw19. Rethinking intentionality in the era of AI Joanne Lipson FreedSection 6: AI Interdisciplinarities20. Computational literary studies and AIKatherine Bode and Charlotte Bradley21. What to expect when you’re expecting: on the creative potential of generative AI Tony Veale22. Electricity and Alchemy: (un)explainable AI and (un)explainable literatureGenevieve LiveleySection 7: AI Narratologies23. Towards narrative AI studiesTorsa Ghosal24. Towards an AI narratology: the possibilities of LLM classification for the quantification of abstract narrative concepts in literary studiesClaudia Carroll25. Post-digital narrative analysisNuette HeynsSection 8: AI Co-Creations26. Co-creative multimodal authorship as procedural performance with DALL-E Astrid Ensslin and Jason Nelson 27. Artificial theatres of the absurdBoyd Branch and Piotr Mirowski28. Artificially funny: collaborative play at the intersection of AI, literature and humour Rachel Hamilton29. Artificial Intelligence, the poetic process, and the critical editorVictoria PunchPostscript30. Luddites, literature, and LLMsKate Devlin