Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Dual use, the intentional, harmful reuse of technology and scientific artefacts, is an ill-defined problem within the context of Natural Language Processing (NLP). As large language models (LLMs) have advanced in their capabilities and become more accessible, the risk of their intentional misuse becomes more prevalent. To prevent such intentional malicious use, it is necessary for NLP researchers and practitioners to understand and mitigate the risks of their research. Hence, we present an NLP-specific definition of dual use informed by researchers and practitioners in the field. Further, we propose a checklist focusing on dual-use in NLP, that can be integrated into existing conference ethics-frameworks. The definition and checklist are created based on a survey of NLP researchers and practitioners.
Original language | English |
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Title of host publication | Findings of the Association for Computational Linguistics: EMNLP 2023 |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2023 |
Pages | 13977-13998 |
ISBN (Electronic) | 979-8-89176-061-5 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 Findings of the Association for Computational Linguistics: EMNLP 2023 - Singapore Duration: 6 Dec 2023 → 10 Dec 2023 |
Conference
Conference | 2023 Findings of the Association for Computational Linguistics: EMNLP 2023 |
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By | Singapore |
Periode | 06/12/2023 → 10/12/2023 |
ID: 381510983