Dual use concerns of generative AI and large language models
ABSTRACTWe suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2024-12-01
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Series: | Journal of Responsible Innovation |
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Online Access: | https://www.tandfonline.com/doi/10.1080/23299460.2024.2304381 |
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author | Alexei Grinbaum Laurynas Adomaitis |
author_facet | Alexei Grinbaum Laurynas Adomaitis |
author_sort | Alexei Grinbaum |
collection | DOAJ |
description | ABSTRACTWe suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe the DURC criteria can be effectively redefined for LLMs, potentially contributing to improved AI governance. Acknowledging the balance that must be struck when employing the DURC framework, we highlight its crucial political role in enhancing societal awareness of the impact of generative AI. As a final point, we offer a series of specific recommendations for applying the DURC approach to LLM research. |
first_indexed | 2024-03-08T09:42:55Z |
format | Article |
id | doaj.art-96aa00321a1c47b782c3b86d4be1bbdf |
institution | Directory Open Access Journal |
issn | 2329-9460 2329-9037 |
language | English |
last_indexed | 2024-03-08T09:42:55Z |
publishDate | 2024-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Responsible Innovation |
spelling | doaj.art-96aa00321a1c47b782c3b86d4be1bbdf2024-01-30T00:21:08ZengTaylor & Francis GroupJournal of Responsible Innovation2329-94602329-90372024-12-0111110.1080/23299460.2024.2304381Dual use concerns of generative AI and large language modelsAlexei Grinbaum0Laurynas Adomaitis1CEA-Saclay/Larsim, Gif-sur-Yvette, FranceCEA-Saclay/Larsim, Gif-sur-Yvette, FranceABSTRACTWe suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe the DURC criteria can be effectively redefined for LLMs, potentially contributing to improved AI governance. Acknowledging the balance that must be struck when employing the DURC framework, we highlight its crucial political role in enhancing societal awareness of the impact of generative AI. As a final point, we offer a series of specific recommendations for applying the DURC approach to LLM research.https://www.tandfonline.com/doi/10.1080/23299460.2024.2304381Dual Use Research of Concern (DURC)generative AILarge Language Models (LLMs)AI ethics |
spellingShingle | Alexei Grinbaum Laurynas Adomaitis Dual use concerns of generative AI and large language models Journal of Responsible Innovation Dual Use Research of Concern (DURC) generative AI Large Language Models (LLMs) AI ethics |
title | Dual use concerns of generative AI and large language models |
title_full | Dual use concerns of generative AI and large language models |
title_fullStr | Dual use concerns of generative AI and large language models |
title_full_unstemmed | Dual use concerns of generative AI and large language models |
title_short | Dual use concerns of generative AI and large language models |
title_sort | dual use concerns of generative ai and large language models |
topic | Dual Use Research of Concern (DURC) generative AI Large Language Models (LLMs) AI ethics |
url | https://www.tandfonline.com/doi/10.1080/23299460.2024.2304381 |
work_keys_str_mv | AT alexeigrinbaum dualuseconcernsofgenerativeaiandlargelanguagemodels AT laurynasadomaitis dualuseconcernsofgenerativeaiandlargelanguagemodels |