Detecting AI-Generated Academic Work and Strategies for Ensuring Authenticity in Research Writing: Implication for Lecturers and Students in Tertiary Institutions in Nigeria

The rapid advancement of artificial intelligence (AI) has transformed the landscape of academic writing, providing tools capable of generating research papers, project reports, and scholarly content in a fraction of the time it would take a human researcher. While AI offers unprecedented efficiency and accessibility, its misuse raises serious concerns regarding originality, academic integrity, and credibility. AI-generated work often lacks critical thinking, contextual understanding, and genuine insight, making it difficult for educators and researchers to assess the authenticity of submitted work. This study examines the identifiable signs of AI-generated academic content, such as overly formal or robotic language, lack of deep analysis, repetitive phrasing, inconsistent arguments, and unverifiable references. In addition, the study explores practical strategies for ensuring the authenticity of AI-assisted writing. These strategies include integrating personal analysis, using real data and case studies, incorporating contextual examples, paraphrasing AI outputs, applying proper citation practices, and revising content thoroughly to match the author’s voice. By combining detection methods with authenticity-enhancing strategies, this paper provides a comprehensive framework for students, researchers, and academic institutions to maintain scholarly rigor in the era of AI.