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Responsible Development of Offensive AI

arXiv 2504.02701 ↗First posted 3 Apr 2025cs.AI cs.MAcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 15 references that are in the map. First posted on arXiv 3 Apr 2025.

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References · 3

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  2. 2024Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applicationscited by 59
  3. 2021Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agentscited by 6

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