Summary of Considerations Influencing Offense-defense Dynamics From Artificial Intelligence, by Giulio Corsi et al.
Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence
by Giulio Corsi, Kyle Kilian, Richard Mallah
First submitted to arxiv on: 5 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper investigates the dual nature of artificial intelligence (AI) technologies, which can both enhance defensive capabilities and present avenues for malicious exploitation. The study builds on recent work on offense-defense dynamics within AI and proposes a taxonomy to examine key factors influencing whether AI systems pose threats or offer protective benefits to society. By establishing a shared terminology and conceptual foundation, the research aims to facilitate further discussion and analysis of these interactions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can enhance defensive capabilities by improving threat detection, risk assessment, and automated security operations. However, it also presents opportunities for malicious exploitation through automated influence operations and cyber attacks. To understand AI’s capacity to cause harm or offer protective benefits, researchers need to map the key factors that influence its deployment, use, and integration. |
