Can AI help me improve the specific details and evidence in my thesis?

Yes, artificial intelligence (AI) can be a valuable tool for assisting in the refinement of specific details and evidence within a thesis. AI applications like large language models (LLMs) can analyze text for coherence, suggest clearer phrasing, identify potential inconsistencies in argumentation, and locate supporting evidence or relevant citations. However, they fundamentally operate on pattern recognition in data, not true critical understanding. Their effectiveness depends heavily on the clarity and specificity of the user's prompts and the quality of the input text. Crucially, AI-generated content must be rigorously fact-checked, properly integrated, and cited according to academic integrity standards. Human oversight is essential to validate suggestions and maintain original thought and contribution. To leverage AI for this purpose, provide it with specific excerpts and ask it to critique logic, suggest stronger evidence types (e.g., statistics, case studies), identify gaps needing supporting details, or propose rephrasing for conciseness and impact. Crucially, use AI outputs as a starting point for further research and refinement, ensuring all incorporated details meet scholarly rigor and ethical standards. This process can significantly enhance argumentative depth and precision, improving overall thesis quality.