
- 384 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Routledge Handbook of AI and Literature
About this book
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. It also illustrates ways in which AI researchers can use literary lenses to better understand the sociotechnical dynamics and cultural imaginaries shaping human interactions with AI.
Both AI and literature are understood in their broadest senses here. The book incorporates chapters that deal with Large Language Models, Generative AI, transformer architectures, story generators, and computational analysis. Literary case studies embrace performance, poetry, comics, as well as prose, and span a wide range of historical periods, from the ancient world to contemporary science fiction and Generative AI poetry.
The Handbook brings together early career contributors, as well as some of the best-known names in the digital humanities and computational literary studies. It offers a fresh perspective on the past, present, and future of AI and literature that will appeal to students and scholars with relevant interests across a range of subjects, including AI Engineering, Classics, Computing, Digital Humanities, English, Ethics, Film and Television, Law, and Narratology.
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Information
Table of contents
- Cover
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Figures
- Contributors
- Acknowledgements
- Introduction
- 1 Introduction: Why AI and literature?
- Part 1 AI Authors
- 2 The author, poor bastard: Writing, creativity, AI
- 3 Does writing have a future?
- 4 A brief history of computer-generated literature: In search of the author
- 5 Emerging models of AI āauthorshipā in popular discourse
- PART 2 AI Voices
- 6 Oracle, echo, or stochastic parrot? Who (or what) speaks in AI-generated literature?
- 7 āFree spaces of imaginal adventureā: voicing silence in AI and literature
- 8 The AI question, or what if Homer had ChatGPT?
- 9 The voice of the platform
- PART 3 AI Interrogations
- 10 There has never been an intelligent literature
- 11 Shakespeare didnāt brainstorm: why literature proves that thereās more to intelligence than AI
- 12 A token effort? Reflections on the authoring of (science) fiction in an age of āartificial intelligenceā
- PART 4 AI Narratives
- 13 AIs reading AI narratives?
- 14 AI 2041: critical design fiction?
- 15 Digital, deep fake, and glitch twins in the cultural imaginaries of Generative AI
- 16 The rise of the artificial boyfriend: artificial partners past, present, and future
- Part 5 AI Ethics
- 17 (Un)Ethical extractions: conceptual writing, appropriation, and the poetics of the public domain
- 18 āFull of storiesā: AI, literature, and the law
- 19 Rethinking intentionality in the era of AI
- PART 6 AI Interdisciplinarities
- 20 Computational literary studies and AI
- 21 What to expect when youāre expecting: on the creative potential of Generative AI
- 22 Electricity and alchemy: (un)explainable AI and (un)explainable literature
- PART 7 AI Narratologies
- 23 Towards narrative AI studies
- 24 Towards an AI narratology: the possibilities of LLM classification for the quantification of abstract narrative concepts in literary studies
- 25 Post-digital narrative analysis
- PART 8 AI Co-Creations
- 26 Co-creative multimodal authorship as procedural performance with DALL-E
- 27 Artificial theatres of the absurd
- 28 Artificially funny: collaborative play at the intersection of AI, literature and humour
- 29 Artificial Intelligence, the poetic process, and the critical editor
- Postscript
- 30 Luddites, literature, and LLMs
- Index