¿Cómo detectar textos científicos generados con inteligencia artificial?
Saved in:
| Title: | ¿Cómo detectar textos científicos generados con inteligencia artificial? |
|---|---|
| Alternate Title: | How to detect scientific texts generated with artificial intelligence? |
| Authors: | Chávez-Martínez, Omar1 omar.chavezm@imss.gob.mx |
| Source: | Revista Medica del IMSS. Jan/Feb2026, Vol. 64 Issue 1, p1-4. 4p. |
| Subjects: | RESEARCH ethics, LANGUAGE models, TEXT mining, JUDGMENT (Psychology), CONTENT analysis, TECHNICAL writing, ETHICAL problems |
| Abstract (English): | Large language models have transformed scientific writing, which facilitates text drafting and revision, but at the same time introduces ethical and epistemological risks. Even though their use promotes linguistic equity, the lack of transparency and the manipulation of information threaten academic integrity. AI detectors —such as Originality.ai, ZeroGPT, or Turnitin— show variable effectiveness and do not provide conclusive results, especially against "text humanizers." AI-generated texts are characterized by formal coherence, but also by predictability and stylistic uniformity. Therefore, detection must be combined with ethical and critical evaluation made by humans, and it must be understood that true scientific integrity depends on intellectual judgment rather than technological automation. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Los modelos de lenguaje de gran escala han transformado la escritura científica, lo cual facilita la redacción y la revisión de textos, pero a su vez genera riesgos éticos y epistemológicos. Aunque su uso promueve la equidad lingüística, la falta de transparencia y la manipulación de información amenazan la integridad académica. Los detectores de inteligencia artificial (IA), como Originality.ai, ZeroGPT o Turnitin muestran eficacia variable y no ofrecen resultados concluyentes, especialmente ante los "humanizadores de texto". Los textos generados por IA se caracterizan por su coherencia formal, pero también por su previsibilidad y uniformidad estilística. Por ello, la detección debe combinarse con la evaluación ética y crítica hecha por humanos, y hay que entender que la auténtica integridad científica depende del juicio intelectual y no de la automatización tecnológica. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: lth DbLabel: MedicLatina An: 190451186 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: ¿Cómo detectar textos científicos generados con inteligencia artificial? – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: How to detect scientific texts generated with artificial intelligence? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chávez-Martínez%2C+Omar%22">Chávez-Martínez, Omar</searchLink><relatesTo>1</relatesTo><i> omar.chavezm@imss.gob.mx</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Medica+del+IMSS%22">Revista Medica del IMSS</searchLink>. Jan/Feb2026, Vol. 64 Issue 1, p1-4. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22RESEARCH+ethics%22">RESEARCH ethics</searchLink><br /><searchLink fieldCode="DE" term="%22LANGUAGE+models%22">LANGUAGE models</searchLink><br /><searchLink fieldCode="DE" term="%22TEXT+mining%22">TEXT mining</searchLink><br /><searchLink fieldCode="DE" term="%22JUDGMENT+%28Psychology%29%22">JUDGMENT (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22CONTENT+analysis%22">CONTENT analysis</searchLink><br /><searchLink fieldCode="DE" term="%22TECHNICAL+writing%22">TECHNICAL writing</searchLink><br /><searchLink fieldCode="DE" term="%22ETHICAL+problems%22">ETHICAL problems</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Large language models have transformed scientific writing, which facilitates text drafting and revision, but at the same time introduces ethical and epistemological risks. Even though their use promotes linguistic equity, the lack of transparency and the manipulation of information threaten academic integrity. AI detectors —such as Originality.ai, ZeroGPT, or Turnitin— show variable effectiveness and do not provide conclusive results, especially against "text humanizers." AI-generated texts are characterized by formal coherence, but also by predictability and stylistic uniformity. Therefore, detection must be combined with ethical and critical evaluation made by humans, and it must be understood that true scientific integrity depends on intellectual judgment rather than technological automation. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: Los modelos de lenguaje de gran escala han transformado la escritura científica, lo cual facilita la redacción y la revisión de textos, pero a su vez genera riesgos éticos y epistemológicos. Aunque su uso promueve la equidad lingüística, la falta de transparencia y la manipulación de información amenazan la integridad académica. Los detectores de inteligencia artificial (IA), como Originality.ai, ZeroGPT o Turnitin muestran eficacia variable y no ofrecen resultados concluyentes, especialmente ante los "humanizadores de texto". Los textos generados por IA se caracterizan por su coherencia formal, pero también por su previsibilidad y uniformidad estilística. Por ello, la detección debe combinarse con la evaluación ética y crítica hecha por humanos, y hay que entender que la auténtica integridad científica depende del juicio intelectual y no de la automatización tecnológica. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=190451186 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5281/zenodo.17477984 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 4 StartPage: 1 Subjects: – SubjectFull: RESEARCH ethics Type: general – SubjectFull: LANGUAGE models Type: general – SubjectFull: TEXT mining Type: general – SubjectFull: JUDGMENT (Psychology) Type: general – SubjectFull: CONTENT analysis Type: general – SubjectFull: TECHNICAL writing Type: general – SubjectFull: ETHICAL problems Type: general Titles: – TitleFull: ¿Cómo detectar textos científicos generados con inteligencia artificial? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chávez-Martínez, Omar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 04435117 Numbering: – Type: volume Value: 64 – Type: issue Value: 1 Titles: – TitleFull: Revista Medica del IMSS Type: main |
| ResultId | 1 |
