Summary of Harnessing Ai For Efficient Analysis Of Complex Policy Documents: a Case Study Of Executive Order 14110, by Mark A. Kramer et al.
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110
by Mark A. Kramer, Allen Leavens, Alexander Scarlat
First submitted to arxiv on: 10 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
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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 study aims to evaluate the potential of artificial intelligence (AI) in streamlining policy analysis, specifically focusing on question answering and content extraction from complex policy documents. The researchers employed four commercial AI systems to analyze Executive Order 14110 and answer a set of representative policy questions. The performance of these AI systems was compared to manual analysis conducted by human experts. The study found that two AI systems, Gemini 1.5 Pro and Claude 3 Opus, demonstrated significant potential for supporting policy analysis, providing accurate and reliable information extraction from complex documents. However, achieving reproducibility remains a challenge, necessitating further research and development. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can help analyze complex policy documents, making it easier to understand and apply them. Researchers used four AI systems to see how well they could answer questions about an executive order. The AI systems did as well as human experts but much faster. Two of the AI systems, Gemini 1.5 Pro and Claude 3 Opus, worked really well for this task. However, making sure the results are consistent is still a challenge that needs to be solved. |
Keywords
» Artificial intelligence » Claude » Gemini » Question answering
