Archive · 2025-04-23
AI ethics on Wednesday, 23 April 2025
5 items published this day, across 1 categories.
Research (5)
Benchmark evaluation of DeepSeek large language models in clinical decision-making
Hallucination‐Free? Assessing the Reliability of Leading <scp>AI</scp> Legal Research Tools
ABSTRACT Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. However, the large language models used in these tools are prone to “hallucinate,” or make up false information, making their use risky in high‐stakes domains. Recently, certain legal research providers have touted methods such as retrieval‐augmented genera
Bridging the digital health divide: a narrative review of the causes, implications, and solutions for digital health inequalities
Background: Digital health interventions have the potential to improve health at a large scale globally by improving access to healthcare services and health-related information, but they tend to benefit more affluent and privileged groups more than those less privileged.Methods: In this narrative review, we describe how this ‘digital health divide’ can manifest across three different levels reflecting inequalities in access, skills and benefits or outcomes (i.e. the first, second, and tertiary
Aplicación de la Inteligencia Artificial en la Personalización del Aprendizaje para Estudiantes con Necesidades Educativas Especiales
El propósito de este estudio es analizar la aplicación de inteligencia artificial (IA) al personalizar a los estudiantes con necesidades educativas especiales (NEE). Desde la detección de la diversidad cognitiva y emocional social que caracteriza a este grupo de estudiantes, el estudio de las herramientas basadas en AIS se planteó como un eje central para adaptar el contenido, el ritmo, la estrategia y los formatos de aprendizaje a las características individuales de cada estudiante. El estudio
Integrating AI in medical education: a comprehensive study of medical students’ attitudes, concerns, and behavioral intentions
BACKGROUND: To analyze medical students' perceptions, trust, and attitudes toward artificial intelligence (AI) in medical education, and explore their willingness to integrate AI in learning and teaching practices. METHODS: This cross-sectional study was performed with undergraduate and postgraduate medical students from two medical universities in Beijing. Data were collected between October and early November 2024 via a self-designed questionnaire that covered seven main domains: Awareness of