Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.8K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.8K
Ethics in Research01:56

Ethics in Research

24.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
24.0K
Feedback Inhibition00:46

Feedback Inhibition

54.6K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
54.6K
Proofreading01:43

Proofreading

54.9K
Overview
54.9K
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.9K
Review and Preview01:10

Review and Preview

7.7K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
7.7K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same authorSame journal

What I See as an Editor: The Reach of Nurse-Led Intervention Oncology Research.

Oncology nursing forum·2026
Same author

Artificial Intelligence as a Research Extender, Not a Shortcut.

Oncology nursing forum·2026
Same author

May 2026 Letter to the Editor.

Oncology nursing forum·2026
Same author

Evolving With Science: Why Forum Is Moving to Continuous Publication.

Oncology nursing forum·2026
Same author

An Educational Program for New Graduate Nurses and Experienced Nurses as Mentors at an Academic Medical Center.

Journal for nurses in professional development·2026
Same author

The Limits of Staying in Your Lane: Why Nursing Science Needs DNP-PhD Collaboration.

Clinical journal of oncology nursing·2026

Video Experimental Relacionado

Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575

La experiencia humana en un proceso de revisión por pares en colaboración con la IA

Janine Overcash1

  • 1Janine Overcash.

Oncology nursing forum
|August 24, 2025
PubMed
Resumen

Las revisiones de pares no reveladas generadas por la inteligencia artificial (IA) plantean importantes preocupaciones éticas. A medida que crece el uso de la IA en el mundo académico, su papel en la integridad de la investigación requiere una atención urgente.

Palabras clave:
Inteligencia artificialLa éticaevaluación por pareslas publicacioneslas investigaciones

Más Videos Relacionados

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

Videos de Experimentos Relacionados

Last Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

Área de la Ciencia:

  • Inteligencia artificial
  • Integridad académica
  • Publicaciones científicas

Sus antecedentes:

  • La creciente prevalencia de las herramientas de inteligencia artificial (IA) en el mundo académico.
  • Creciente preocupación con respecto al uso no revelado de la IA en tareas académicas por parte de los estudiantes.
  • Potencial para una adopción similar de la IA por parte de los investigadores en la comunicación académica.

Objetivo del estudio:

  • Explorar las implicaciones éticas de las revisiones de pares generadas por IA no reveladas.
  • Evaluar el impacto potencial de la IA en la integridad del proceso de revisión por pares.
  • Destacar la necesidad de transparencia en el uso de la IA en la investigación científica.

Principales métodos:

  • Análisis cualitativo de las capacidades actuales de IA en la generación de textos.
  • Revisión de las directrices éticas existentes para la IA en la investigación.
  • Discusión de posibles escenarios para el uso de la IA en la revisión por pares.

Principales resultados:

  • La IA puede generar comentarios plausibles de revisión por pares, lo que genera preocupaciones sobre la autenticidad.
  • La falta de divulgación exacerba los problemas éticos, lo que podría socavar el discurso científico.
  • La facilidad de adopción de la IA sugiere que el uso generalizado entre los investigadores es plausible.

Conclusiones:

  • Las revisiones de pares generadas por IA no reveladas representan una seria amenaza para la integridad de la investigación.
  • Se necesitan directrices claras y prácticas transparentes para abordar la IA en la revisión por pares.
  • Las medidas proactivas son esenciales para mantener la confianza en el proceso de publicación científica.