Can I read Creative Writers' Attitudes on Writing as Training Data for Large Language Models on EtoBox?

Creative Writers' Attitudes on Writing as Training Data for Large Language Models by Gero, Katy Ilonka; Desai, Meera; Schnitzler, Carly; Eom, Nayun; Cushman, Jack; Glassman, Elena L. is a scholarly article available to read on EtoBox.

What is Creative Writers' Attitudes on Writing as Training Data for Large Language Models about?

The use of creative writing as training data for large language models (LLMs) is highly contentious and many writers have expressed outrage at the use of their work without consent or compensation. In this paper, we seek to understand how creative writers reason about the real or hypothetical use of their writing as training data. We interviewed 33 writers with variation across genre, method of publishing, degree of professionalization, and attitudes toward and engagement with LLMs. We report on core principles that writers express (support of the creative chain, respect for writers and writing, and the human element of creativity) and how these principles can be at odds with their realistic expectations of the world (a lack of control, industry-scale impacts, and interpretation of scale). Collectively these findings demonstrate that writers have a nuanced understanding of LLMs and are more concerned with power imbalances than the technology itself.

Author

Gero, Katy Ilonka; Desai, Meera; Schnitzler, Carly; Eom, Nayun; Cushman, Jack; Glassman, Elena L.

Published

2024

Language

EN