Dual use issues in the field of Natural Language Generation

Fuente: arXiv
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Autore principale: van Miltenburg, Emiel
Natura: Preprint
Pubblicazione: 2025
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author van Miltenburg, Emiel
author_facet van Miltenburg, Emiel
contents This report documents the results of a recent survey in the SIGGEN community, focusing on Dual Use issues in Natural Language Generation (NLG). SIGGEN is the Special Interest Group (SIG) of the Association for Computational Linguistics (ACL) for researchers working on NLG. The survey was prompted by the ACL executive board, which asked all SIGs to provide an overview of dual use issues within their respective subfields. The survey was sent out in October 2024 and the results were processed in January 2025. With 23 respondents, the survey is presumably not representative of all SIGGEN members, but at least this document offers a helpful resource for future discussions. This report is open to feedback from the SIGGEN community. Let me know if you have any questions or comments!
format Preprint
id arxiv_https___arxiv_org_abs_2501_06636
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dual use issues in the field of Natural Language Generation
van Miltenburg, Emiel
Computation and Language
This report documents the results of a recent survey in the SIGGEN community, focusing on Dual Use issues in Natural Language Generation (NLG). SIGGEN is the Special Interest Group (SIG) of the Association for Computational Linguistics (ACL) for researchers working on NLG. The survey was prompted by the ACL executive board, which asked all SIGs to provide an overview of dual use issues within their respective subfields. The survey was sent out in October 2024 and the results were processed in January 2025. With 23 respondents, the survey is presumably not representative of all SIGGEN members, but at least this document offers a helpful resource for future discussions. This report is open to feedback from the SIGGEN community. Let me know if you have any questions or comments!
title Dual use issues in the field of Natural Language Generation
topic Computation and Language
url https://arxiv.org/abs/2501.06636