Summary of Taxonomy to Regulation: a (geo)political Taxonomy For Ai Risks and Regulatory Measures in the Eu Ai Act, by Sinan Arda
Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
by Sinan Arda
First submitted to arxiv on: 17 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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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 taxonomy identifies 12 AI-related geopolitical risks, categorized into four groups: Geopolitical Pressures, Malicious Usage, Environmental, Social, and Ethical Risks, and Privacy and Trust Violations. The EU AI Act is analyzed, highlighting potential benefits in reducing AI risks but also regulatory gaps that require adjustments to mitigate risks comprehensively. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can have both positive and negative impacts on society. This study creates a list of 12 AI-related risks, grouped into four categories. The researchers look at the European Union’s AI Act, which has the potential to help reduce AI risks but also has some weaknesses that need to be fixed. |
