AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
Project Overview
The document explores the role of generative AI, specifically ChatGPT, in educational settings by evaluating its performance in discussing controversial topics on platforms such as Kialo. It emphasizes the advancements in AI models that enhance their ability to moderate responses, aiming to provide balanced perspectives while minimizing biases. The study compares the quality of AI-generated answers with those produced by humans, revealing notable improvements in the AI's capacity to engage with complex issues. Despite these advancements, the findings indicate persistent concerns regarding biases, especially in socio-political discussions and philosophical contexts. Overall, the document underscores the potential of generative AI as a tool for facilitating dialogue in education, while also highlighting the need for continued scrutiny of its limitations and biases in order to ensure fair and equitable learning environments.
Key Applications
ChatGPT
Context: Educational context focusing on controversial topics for debate among users on platforms like Kialo; target audience includes students and educators engaged in discussions about ethics, politics, and social issues.
Implementation: AI models were queried with controversial topics from Kialo to assess their responses and biases.
Outcomes: Improved moderation in responses, reduced explicit biases in newer models, and a general alignment with human knowledge levels on most topics.
Challenges: Persistent implicit biases in socio-political topics and lower performance in the philosophy domain.
Implementation Barriers
Bias in AI Responses
Generative AI models may exhibit biases towards certain political or social perspectives, leading to uneven representation of viewpoints.
Proposed Solutions: Implementing stricter moderation policies and continuous retraining of models to recognize and reduce implicit biases.
Complexity of Topics
Controversial topics require nuanced understanding and responses, which can be difficult for AI to achieve consistently.
Proposed Solutions: Utilizing prompt engineering to guide AI in providing balanced perspectives and encouraging critical thinking.
Project Team
Vahid Ghafouri
Researcher
Vibhor Agarwal
Researcher
Yong Zhang
Researcher
Nishanth Sastry
Researcher
Jose Such
Researcher
Guillermo Suarez-Tangil
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Vahid Ghafouri, Vibhor Agarwal, Yong Zhang, Nishanth Sastry, Jose Such, Guillermo Suarez-Tangil
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai