Summary of Ai Versus Ai in Financial Crimes and Detection: Genai Crime Waves to Co-evolutionary Ai, by Eren Kurshan et al.
AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI
by Eren Kurshan, Dhagash Mehta, Bayan Bruss, Tucker Balch
First submitted to arxiv on: 30 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- 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 paper investigates the alarming trend of AI adoption by criminal entities in traditional and emerging financial crime paradigms. Specifically, it highlights the proliferation of generative AI, which enables sophisticated phishing schemes, deep fakes, advanced spoofing attacks on biometric authentication systems, and more. The study finds that AI-powered fraud poses an unprecedented challenge due to its complex interplay with cybersecurity vulnerabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how bad guys are using artificial intelligence (AI) for financial crimes like scams and fake identities. They’re making it hard to detect these crimes because they’re using smart machines that can create very realistic images, voices, and even faces! This is a big problem because it’s getting harder to keep track of what’s real and what’s not. |
