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...
| Publicado en: | Radiologic Technology Vol. 97; no. 2; pp. 106 - 110 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
American Society of Radiologic Technologists
Nov/Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188819952&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188819952 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338397 39J jtl: Radiologic Technology issn: 00338397 maglogo: N pubinfo: dt: Nov/Dec2025 vid: 97 iid: 2 pid: 7052 pub: American Society of Radiologic Technologists place: Alburquerque, New Mexico artinfo: ui: 188819952 188819952 ppf: 106 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Limitations of Tools for Detecting the Use of AI in Student-Written Papers. aug: au: Roman, Iris Clark, Kevin R. affil: Cardiac interventional technologist in the Texas Medical Center in Houston sug: subj: Writing Standards Artificial Intelligence Utilization Plagiarism Student Attitudes Educational Measurement Natural Language Processing Ethics Faculty Liability, Legal Educational Technology Professional Competence ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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