20/07/2026
RESEARCH | As artificial intelligence (AI) becomes more powerful, students are increasingly using AI tools to help write their academic requirements. While these tools can make studying more efficient, educators worry that they also make it easier to submit work that isnโt truly original. To address this concern, many faculty members have started using AI detectorsโspecial programs designed to identify whether an assignment was written by a human or generated by AI. But are these detectors fair and reliable?
This study explores studentsโ perceptions of AI detection tools and their opinions on whether teachers are using them appropriately. Some students support the technology, saying it encourages originality and independent thinking. Others express concern, fearing that AI detectors may falsely accuse them of cheating, leading to unfair consequences. Beyond technical issues, the study raises important ethical questions about fairness, privacy, and transparency in education. Should schools have clearer guidelines on AI use? Should students be notified when their work is checked by AI? Should professors rely on AI detectors alone, or combine them with their own judgment?
This research is timely and crucial for universities, policymakers, and education professionals who need to balance innovation with integrity. It offers valuable insights for improving policies that regulate AI in education, ensuring students are treated fairly while maintaining high academic standards.
Authors: Chito Naorbe Angeles (Center for ICT for Development, College of Computer Studies, De La Salle University Manila | University of the Philippines Diliman), Brylle Dimaano Samson (Center for ICT for Development, College of Computer Studies, De La Salle University Manila | Cavite State University-Silang), Bai Rafsan Mama (Center for ICT for Development, College of Computer Studies, De La Salle University Manila | Mindanao State University-Maguindanao), Ronnie Lucero Luriaga (Center for ICT for Development, College of Computer Studies, De La Salle University Manila | Visayas State University-Alangalang), and John Pierre Delizo (Center for ICT for Development, College of Computer Studies, De La Salle University Manila)
Published in ICEEG '24: Proceedings of the 2024 8th International Conference on E-Commerce, E-Business, and E-Government
Read more: https://ovpaa.up.edu.ph/research/study-examines-student-perspectives-on-ai-detection-tools-and-their-appropriate-use-in-teaching/
