Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Document Type
Conference Proceeding
Publication Title
Findings of the Association for Computational Linguistics: EMNLP 2023
Abstract
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.
First Page
13977
Last Page
13998
Publication Date
1-1-2023
Recommended Citation
L. Kaffee et al., "Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing," Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 13977 - 13998, Jan 2023.