Summary of The Game-theoretic Symbiosis Of Trust and Ai in Networked Systems, by Yunfei Ge and Quanyan Zhu
The Game-Theoretic Symbiosis of Trust and AI in Networked Systems
by Yunfei Ge, Quanyan Zhu
First submitted to arxiv on: 19 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel study explores the interconnectedness of Artificial Intelligence (AI) and trust in networked systems, specifically in strategic cybersecurity contexts. The paper highlights how AI’s capabilities in data processing, learning, and real-time response can support trust management in dynamic networks. However, the successful integration of AI also relies on the trustworthiness of AI systems themselves. Using a game-theoretic framework, the authors present approaches to trust evaluation, the strategic role of AI in cybersecurity, and governance frameworks for responsible AI deployment. The study investigates how dynamically managed trust through AI can form a resilient security ecosystem. By examining trust as both an AI output and an AI requirement, this chapter sets the foundation for a positive feedback loop where AI enhances network security and the trust placed in AI systems fosters their adoption. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI helps networks stay safe by processing data fast and responding quickly. But for this to work, people need to trust that AI is doing its job correctly. This paper looks at how AI can help manage trust in complex networks and how trusting AI is important too. The authors use a special way of thinking called game theory to show how AI and trust are connected. They also talk about ways to make sure AI is used safely and responsibly. By looking at how trust works with AI, the paper sets up a positive loop where AI makes networks safer and people trust AI more. |
