An Academic Text: The Balance Between Academic Integrity and Artificial Intelligence

Academic writing is creating texts within academic discourse, encompassing a complex and multifaceted set of skills. These skills involve linguistic (lexical, syntactic, and stylistic) aspects and, more importantly, meta-linguistic competencies such as logical reasoning, analytical thinking, critical evaluation, objectivity, and respect for diverse ideas and sources. Modern approaches to mastering academic writing include the Controlled-to-Free Approach, the Free-Writing Approach, the Paragraph Pattern Approach, the Grammatical-Syntactic-Organizational Approach, and the Process Approach. The fundamental academic writing unit is the scientific text – a cohesive, communicative structure with a clear and logical organisation consisting of internally complete sections, subsections, and paragraphs enriched with appropriate terminology. An essential stage in academic writing is ensuring originality by using plagiarism detection software, which compares submitted texts against a database of existing documents to identify overlapping content. Artificial intelligence (AI) has become a crucial aspect of today’s academic integrity discourse. It is characterised as a structured system of information technologies designed to support complex tasks through scientific research methods and algorithmic data processing that significantly impacts academic integrity by enhancing personalised learning, increasing educational accessibility, improving the quality of education, supporting educators and researchers, and expanding learning opportunities. Drawing on theoretical methods of analysis and synthesis and the empirical method of interviews, this study emphasises the importance of a balanced approach to integrating AI tools while upholding academic integrity among students, educators, and researchers. Although AI technologies play a legitimate role in education, they should focus on enhancing the learning experience and supporting research activities rather than compromising ethical standards.