The Philosophy and Ethics of AI Fiction
Authorship, originality, copyright, audience-of-one, AI rights — the big-question pillar.
Clusters
Authorship
Who is the author of an AI-generated story? The publisher-as-author position, the AI co-author category error, ghostwriting.
Originality
Is anything an AI writes original? The Borges argument, statistical recombination, plagiarism in the latent space, style as fingerprint.
Copyright and IP
Copyrightability of AI-generated stories, training data, character IP, fan fiction, public-domain literature.
Audience-of-one ethics
Generating a story for one reader: ethics, carbon cost, personalization vs. canon, the end of shared narrative.
AI rights and moral status
Moral standing of AI authors, compensation for training-data contributors, crediting human writers, the "is the model a writer?" question.
Reader ethics
Is it lazy to read AI fiction? The "real book" snobbery, generational attitudes, AI fiction in education.
Cultural risk
Cultural homogenization, training-data bias, non-English fiction in an English-trained world, indigenous storytelling and consent.
No published pieces in this pillar yet.