Limitations of Tools for Detecting the Use of AI in Student-Written Papers.
The article focuses on the limitations of tools designed to detect the use of artificial intelligence (AI) in student-written papers. It highlights a case where a student was falsely accused of submitting AI-generated work due to the high error rates of AI detection software, which can lead to false...
| Published in: | Radiologic Technology Vol. 97; no. 2; pp. 106 - 110 |
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| Main Authors: | , |
| Format: | Journal Article |
| Published: |
American Society of Radiologic Technologists
Nov/Dec2025
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| Online Access: | View this record in EBSCOhost |
| Summary: | The article focuses on the limitations of tools designed to detect the use of artificial intelligence (AI) in student-written papers. It highlights a case where a student was falsely accused of submitting AI-generated work due to the high error rates of AI detection software, which can lead to false positives. The article discusses the technical aspects of these detection tools, their unreliability, and the emotional and academic consequences for students who are unjustly accused. It emphasizes the need for educators to adopt more reliable methods to uphold academic integrity and suggests best practices for fostering a supportive learning environment while addressing the challenges posed by AI in education. |
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