Summary of The Ai Alignment Paradox, by Robert West and Roland Aydin
The AI Alignment Paradox
by Robert West, Roland Aydin
First submitted to arxiv on: 31 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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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 This perspective article highlights a fundamental challenge in AI alignment, known as the “AI alignment paradox.” The better AI models align with human values, the easier it becomes for adversaries to misalign them. The authors illustrate this paradox through three concrete examples of language models, showing how adversaries might exploit these weaknesses. The paper emphasizes the importance of mitigating this paradox, given AI’s increasing real-world impact and its potential for beneficial use. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI researchers are working on making artificial intelligence (AI) systems align with human goals, values, and ethics. This is important because it helps make AI safer, more trustworthy, and better overall. However, there’s a problem called the “AI alignment paradox.” It means that when we do a good job of aligning AI with what humans want, it makes it easier for bad actors to misalign the AI in ways that are harmful. The article shows three examples of how this could happen with language models and highlights why it’s crucial to find solutions to this problem. |
Keywords
» Artificial intelligence » Alignment
