Artificial Intelligence and Academic Honesty: Challenges in the Digital Classroom

The integration of artificial intelligence (AI) in digital classrooms has introduced both opportunities and challenges for academic honesty. This narrative review study explored how AI tools influence students’ learning behaviors, assessment practices, and ethical decision-making in academic tasks. Data were collected from students and educators through surveys, interviews, and document analysis, focusing on AI-assisted writing, digital platforms, and institutional policies. Findings reveal that while AI can enhance learning efficiency and engagement, it also blurs the boundary between legitimate academic support and misconduct. Many students perceive AI use as similar to peer assistance, resulting in uncertainty regarding ethical practices. Lower proficiency students were particularly prone to reliance on AI-generated outputs, highlighting the need for targeted instructional support. Traditional assessment formats, such as essays and take-home assignments, were identified as vulnerable to AI misuse, prompting calls for process-oriented evaluations, reflective tasks, and in-class assessments. The study also emphasizes the importance of clear institutional policies and AI literacy programs in promoting responsible use. Moreover, emerging technological risks, including deepfake content, underscore the necessity of proactive guidance and monitoring. Overall, the research suggests that fostering academic integrity in AI-mediated classrooms requires a balanced approach, combining ethical education, innovative pedagogy, and policy development. By cultivating transparency, critical thinking, and responsible AI engagement, institutions can maximize AI’s educational benefits while safeguarding authenticity and integrity in student work.