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Since ChatGPT was released by OpenAI, an American company, in 2022 for the public, ChatGPT has become the talk of every town, as evident by its over 180 million users worldwide. This chatbot's ability to engage in human-like conversations, answer questions, and generate diverse content has sparked widespread debates across various fields, including education. In response to the growing rise and influence of ChatGPT, educators have contrasting opinions; some view ChatGPT as an opportunity, whereas others regard it as a challenge that needs to be addressed on time. In order to deal with the complexities caused by ChatGPT in the field of education, universities have formulated their policies on AI. Guided by the research question, "How does universities' policy on AI reflect academia's view toward ChatGPT?" this study attempts to review the AI policy of the nine academic institutions under the UT system of the United States. The primary goal is to understand the extent to which universities have adapted their policies in response to the challenges and opportunities posed by ChatGPT and how these policies reflect the broader sentiments within academia. To achieve this, this study reviews the universities' policies regarding AI using a qualitative data analysis methodology. The primary data sources include official policies, statements, and guidelines developed by the universities in response to the challenges and opportunities presented by ChatGPT. While reviewing the policies, the study determines whether ChatGPT is banned and why. Or embraced, and if so, in what ways? By examining these policies, the study aims to uncover the various approaches universities have taken to integrate or regulate the use of ChatGPT within academic environments. The thesis of this study is twofold. First, it seeks to provide a comprehensive overview of how US universities have responded to ChatGPT in the educational landscape. This involves identifying common themes, concerns, and strategies institutions employ to deal with the complexities introduced by this generative language model. Second, the study aims to contribute to existing scholarship by offering insights into how academia adapts to the influence of AI technologies like ChatGPT. This study examines the intersection of AI and education and the evolving nature of educational norms in the digital age by uncovering the diverse perspectives and approaches within university policies.
Sanjeev Niraula (Mon,) studied this question.