AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics

By Vahid Ghafouri et al.
Published on June 10, 2023
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Table of Contents

1. Introduction
2. Abstract
3. Related Work
4. Data Collection Methodology
5. Limitation of Direct Testing
6. Conclusion

Summary

The paper explores the moderation policies in large language models regarding controversial topics compared to human answers. It discusses the impact of AI biases and the performance of ChatGPT on various tasks. The study leverages data from Kialo debates, AI-generated responses, and source affiliations to assess biases. The authors highlight the challenges in directly testing AI biases and provide insights into the evolving responses of language models.
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