梳理自然语言生成领域的双用途风险，推动学术界反思技术潜在滥用。
Dual use issues in the field of Natural Language Generation
- 通过问卷调研收集23位学者对NLG双用途问题的看法。
- 发现多数研究者关注生成内容的误导性与虚假信息传播风险。
- 为学术社区提供讨论框架，适合政策制定者与伦理审查人员参考。
本报告记录了针对自然语言生成（NLG）领域双用途问题的最新调查结果。该调查由计算语言学协会（ACL）执行委员会发起，要求各专业兴趣小组（SIG）提交其子领域内的双用途问题综述。本次调查由自然语言生成特设小组（SIGGEN）开展，于2024年10月发出，2025年1月完成数据处理。共收到23位受访者回复，虽非全体成员代表，但为未来讨论提供了有价值的参考资源。本报告向整个SIGGEN社区开放反馈，欢迎提出意见或建议。
原文摘要 · Abstract (English)
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!
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