THE INTEGRATION OF AI IN DOCTORAL-LEVEL RESEARCH

In today's digital era, AI has emerged as a vital resource, particularly in academic research, offering innovative approaches to handle and interpret complex datasets. This influence is especially noticeable in intellectual property research, where AI is reshaping both theoretical understanding and practical applications. This study explores how AI affects doctoral research, with particular attention to its methodological and analytical contributions – ranging from automated legal text analysis to sophisticated document handling and pattern recognition using natural language tools. However, the growing use of generative AI raises important concerns about originality, authorship and the legal status of AI-generated content. These issues are especially pressing in a discipline where clear boundaries around intellectual creation are fundamental. The research calls for clear guidelines to separate human creativity from machine input, especially in the context of academic writing. The study also examines the broader ethical and legal dimensions of using AI in doctoral work, focusing on key principles like transparency, fairness, and the ability to explain AI-driven decisions. By combining theoretical insights with practical analysis, this work offers a well-rounded look at both the possibilities and challenges that AI brings to legal scholarship, while emphasizing the need to preserve core values in intellectual property law.