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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.
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.
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Autorenporträt
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.
Inhaltsangabe
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
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
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