Summary of Generative Ai, Pragmatics, and Authenticity in Second Language Learning, by Robert Godwin-jones`
Generative AI, Pragmatics, and Authenticity in Second Language Learning
by [Robert Godwin-Jones](https://groovesquid.com/?s=Robert+Godwin-Jones)
First submitted to arxiv on: 18 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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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 limitations of integrating generative AI into language learning and teaching, highlighting its potential benefits and drawbacks. Specifically, it emphasizes that AI systems lack the social awareness and cultural authenticity to use language as humans do. This is due to their mathematical models based on statistical probability, which are limited by their training data primarily from Western sources in English. As a result, AI-generated language often lacks pragmatic appropriateness, with implications for second language acquisition and intercultural communication development. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how using artificial intelligence (AI) in language learning can be helpful but also has some big limitations. One problem is that AI systems don’t truly understand human language like we do, so they can’t use it in the same way. Another issue is that AI is often trained on data from Western cultures and languages, which means it might not be able to understand or communicate in other cultures as well. This has important implications for how AI can be used to help people learn new languages and communicate across cultures. |
Keywords
» Artificial intelligence » Probability
