CLJan 11, 2025

Dual use issues in the field of Natural Language Generation

arXiv:2501.06636v11 citationsh-index: 18
Originality Synthesis-oriented
AI Analysis

It addresses ethical concerns in NLG for researchers, but is incremental as it documents a non-representative survey.

This report presents survey results on dual use issues in Natural Language Generation (NLG), conducted within the SIGGEN community, offering a resource for future discussions.

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!

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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