• search hit 2 of 2087
Back to Result List

Easy-read and large language models: on the ethical dimensions of LLM-based text simplification

  • The production of easy-read and plain language is a challenging task, requiring well-educated experts to write context-dependent simplifications of texts. Therefore, the domain of easy-read and plain language is currently restricted to the bare minimum of necessary information. Thus, even though there is a tendency to broaden the domain of easy-read and plain language, the inaccessibility of a significant amount of textual information excludes the target audience from partaking or entertainment and restricts their ability to live life autonomously. Large language models can solve a vast variety of natural language tasks, including the simplification of standard language texts to easy-read or plain language. Moreover, with the rise of generative models like GPT, easy-read and plain language may be applicable to all kinds of natural language texts, making formerly inaccessible information accessible to marginalized groups like, a.o., non-native speakers, and people with mental disabilities. In this paper, we argue for the feasibility of text simplification and generation in that context, outline the ethical dimensions, and discuss the implications for researchers in the field of ethics and computer science.

Export metadata

Additional Services

Share in X Search Google Scholar
Metadaten
Author:Nils FreyerORCiD, Hendrik KemptORCiD, Lars KlöserORCiD
DOI:https://doi.org/10.1007/s10676-024-09792-4
ISSN:1388-1957 (Print)
ISSN:1572-8439 (Online)
Parent Title (English):Ethics and Information Technology
Publisher:Springer
Place of publication:Dortrecht
Document Type:Article
Language:English
Year of Completion:2024
Date of the Publication (Server):2024/09/26
Tag:AI ethics; Accessibility; Easy read; Large language models; Natural language processing
Volume:26
Article Number:50
Length:10 Seiten
Peer Review:Ja
Link:https://doi.org/10.1007/s10676-024-09792-4
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
open_access (DINI-Set):open_access
collections:Verlag / Springer
Open Access / Hybrid
Licence (German): Creative Commons - Namensnennung