Video Experimental Relacionado

Updated: Sep 10, 2025

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

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

Published on: December 6, 2024

Enlaces artificiales continuos: un marco propuesto para la integración responsable de la IA generativa en la

Alexander Manevich^1,2, Shani Aluma³

¹Department of Clinical Psychology of Adulthood and Aging, Ruppin Academic Center, Kfar Monash, Hefer Valley, Israel.

|August 25, 2025

Resumen

La inteligencia artificial generativa (GenAI) ofrece potencial en tanatología, pero las preocupaciones éticas y la investigación limitada requieren un marco para la integración responsable en las prácticas de duelo.

Área de la Ciencia:

Salud digital
Inteligencia artificial
Tanatología

Sus antecedentes:

La inteligencia artificial generativa (GenAI) se utiliza cada vez más en la salud mental, incluida
Los robots de la muerte
Simulaciones digitales de personas fallecidas para los dolientes.
Estas tecnologías presentan beneficios terapéuticos potenciales junto con desafíos éticos y prácticos.
A pesar del creciente interés académico, la investigación empírica es escasa y el campo carece de una base de conocimiento cohesiva.

Objetivo del estudio:

Explorar la integración de GenAI en la tanatología.
Examinar las implicaciones éticas, sociales y clínicas de GenAI en las prácticas relacionadas con el duelo.
Proponer un marco para el uso responsable de GenAI en este ámbito.

Principales métodos:

Revisión de la literatura sobre los desarrollos actuales y los debates clave en GenAI y tanatología.
Análisis de las consideraciones éticas, sociales y clínicas.
Desarrollo de un marco preliminar para la integración responsable.

Principales resultados:

Aplicaciones de GenAI como chatbots y deathbots están surgiendo en salud mental y apoyo al duelo.
El potencial terapéutico de estas tecnologías conlleva importantes desafíos éticos y prácticos.
La escasez de investigación empírica y la falta de conocimiento cohesivo caracterizan el estado actual del campo.

Conclusiones:

Un marco estructurado es crucial para la integración responsable de GenAI en la thanatología.
El marco propuesto hace hincapié en cuatro pilares: la supervisión ética/regulatoria, los fundamentos teóricos, la investigación empírica y la práctica clínica.
Se necesitan más investigaciones y directrices éticas para navegar las complejidades de GenAI en el duelo y la atención al final de la vida.

Palabras clave:

Enlaces artificiales continuados el duelo Los robots de la muerte La ética Inteligencia artificial generativa el dolor pérdida Tánatología

Más Videos Relacionados

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

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

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

Published on: June 13, 2025

Videos de Conceptos Relacionados

Non-equilibrium in the Cell

Non-equilibrium in the Cell

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...

Human Genetics

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

Introduction to Biological Bases of Psychology

Introduction to Biological Bases of Psychology

Biopsychology serves as a vital bridge connecting the intricate domains of biology and psychology, shedding light on how biological systems influence psychological phenomena. This field scrutinizes the biological substrates of behavior and mental processes, emphasizing the nervous system along with the roles of neurotransmitters, hormones, and genetics. It also incorporates evolutionary perspectives to explain the adaptive nature of mental functions.
The nervous system, the cornerstone of...

Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...

Ethics and Bioethics

Ethics and Bioethics

Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...

Ethics in Research

Ethics in Research

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.