Evaluating AI's Dependability in Academic Writing: A Comparison of Responses from the Fields of Literature and Linguistics

This research explores the reactions of AIs towards the persona of Molvi Jalal in Nafisa Rizvi’s The Blue Room in the context of the Sapir-Whorf linguistic relativity hypothesis. The main concern is the investigation of the validity and robustness of the AI results. The results show that AI works well in linguistics, especially if it is working within known theoretical frameworks, but poorly in literary analysis. Furthermore, AI does not possess the nuance of literary interpretation and may misjudge the characters' personalities and other narrative components. The report also mentions that AI performs better in structured academic areas like linguistics, where exploration follows norms and frameworks. But it doesn’t have sensitivity to cultural context, iconography, and emotion.” The main limitations of it are the inability to deal with unanalyzed or context-dependent information well, the weak understanding of emotional depth, and the dependence on existing datasets. The research shows that we need to use intelligence carefully when we are studying things that need to be understood in a certain way. Artificial intelligence can be a tool, and it can make language research better. When we use artificial intelligence to study literature, we need to make sure it is used correctly. This is why we need help from others to understand these concepts, because they have the right knowledge and experience to understand them correctly. AI is a tool; it’s not a replacement for a human who knows literature.