Responsible Development of Offensive AI
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915228815458304 |
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| author | Marinelli, Ryan |
| author_facet | Marinelli, Ryan |
| contents | As AI advances, broader consensus is needed to determine research priorities. This endeavor discusses offensive AI and provides guidance by leveraging Sustainable Development Goals (SDGs) and interpretability techniques. The objective is to more effectively establish priorities that balance societal benefits against risks. The two forms of offensive AI evaluated in this study are vulnerability detection agents, which solve Capture- The-Flag challenges, and AI-powered malware. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_02701 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Responsible Development of Offensive AI Marinelli, Ryan Artificial Intelligence Multiagent Systems As AI advances, broader consensus is needed to determine research priorities. This endeavor discusses offensive AI and provides guidance by leveraging Sustainable Development Goals (SDGs) and interpretability techniques. The objective is to more effectively establish priorities that balance societal benefits against risks. The two forms of offensive AI evaluated in this study are vulnerability detection agents, which solve Capture- The-Flag challenges, and AI-powered malware. |
| title | Responsible Development of Offensive AI |
| topic | Artificial Intelligence Multiagent Systems |
| url | https://arxiv.org/abs/2504.02701 |