Summary of ‘since Lawyers Are Males..’: Examining Implicit Gender Bias in Hindi Language Generation by Llms, By Ishika Joshi et al.
‘Since Lawyers are Males..’: Examining Implicit Gender Bias in Hindi Language Generation by LLMs
by Ishika Joshi, Ishita Gupta, Adrita Dey, Tapan Parikh
First submitted to arxiv on: 20 Sep 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 Large Language Models (LLMs) are widely used for text generation tasks, including translation, customer support, and education. However, LLMs exhibit notable gender biases in English, which become even more pronounced when generating content in underrepresented languages like Hindi. This study investigates implicit gender biases in Hindi text generation and compares them to those in English. The researchers developed Hindi datasets inspired by WinoBias to examine stereotypical patterns in responses from models like GPT-4o and Claude-3 sonnet. The results reveal a significant gender bias of 87.8% in Hindi, compared to 33.4% in English GPT-4o generation. The study highlights the variation in gender biases across languages and provides considerations for navigating these biases in generative AI systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine using computers that can generate text in different languages. This technology is helpful for tasks like translating websites or answering customer questions. But, it turns out that these computers have a problem: they often make unfair assumptions about people based on their gender. In this study, researchers looked at how well these computers do when generating text in Hindi, an Indian language spoken by many people. They found that the computers are much more likely to make gender-based mistakes in Hindi than in English. This is important because it shows that we need to be careful about how we use these computers and make sure they don’t spread unfair ideas. |
Keywords
» Artificial intelligence » Claude » Gpt » Text generation » Translation
