Summary of Don’t Kill the Baby: the Case For Ai in Arbitration, by Michael Broyde et al.
Don’t Kill the Baby: The Case for AI in Arbitration
by Michael Broyde, Yiyang Mei
First submitted to arxiv on: 21 Aug 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 paper explores the intersection of Generative Artificial Intelligence (GenAI) and law, examining both the theoretical and practical implications of GenAI’s growing capabilities. The authors highlight the potential benefits of GenAI in legal settings, such as augmenting human intelligence, improving decision-making, and enhancing transparency. They also acknowledge the need for careful consideration of ethical concerns surrounding bias, job displacement, and emotional dissonance. By leveraging large-scale datasets and benchmarked models, this research aims to contribute to a more nuanced understanding of GenAI’s role in legal contexts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GenAI is like super smart computer that can learn from big data. Some people worry about how it might affect jobs and fairness. But the main idea behind this paper is to think about how GenAI can help make laws better, by making decisions smarter and more transparent. It’s all about finding a balance between using GenAI for good and making sure we don’t create problems. |
