AIMC Topic: Trust
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The need for epistemic humility in AI-assisted pain assessment.
Medicine, health care, and philosophy
Mar 15, 2025
It has been difficult historically for physicians, patients, and philosophers alike to quantify pain given that pain is commonly understood as an individual and subjective experience. The process of measuring and diagnosing pain is often a fraught an...
AI-determined similarity increases likability and trustworthiness of human voices.
PloS one
Mar 5, 2025
Modern artificial intelligence (AI) technology is capable of generating human sounding voices that could be used to deceive recipients in various contexts (e.g., deep fakes). Given the increasing accessibility of this technology and its potential soc...
Building Trust with AI: How Essential is Validating AI Models in the Therapeutic Triad of Therapist, Patient, and Artificial Third? Comment on What is the Current and Future Status of Digital Mental Health Interventions?
The Spanish journal of psychology
Feb 24, 2025
Since the publication of "What is the Current and Future Status of Digital Mental Health Interventions?" the exponential growth and widespread adoption of ChatGPT have underscored the importance of reassessing its utility in digital mental health int...
Prioritizing Trust in Podiatrists' Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study.
JMIR human factors
Feb 21, 2025
BACKGROUND: As artificial intelligence (AI) evolves, its roles have expanded from helping out with routine tasks to making complex decisions, once the exclusive domain of human experts. This shift is pronounced in health care, where AI aids in tasks ...
Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts.
Journal of medical Internet research
Feb 19, 2025
BACKGROUND: The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation of health systems worldwide. Despite the potential benefits across diverse medical domains, a significant barrier ...
Cultural variation in trust and acceptability of artificial intelligence diagnostics for dementia.
Journal of Alzheimer's disease : JAD
Feb 16, 2025
Digital health innovations hold diagnostic and therapeutic promise but may be subject to biases for underrepresented groups. We explored perceptions of using artificial intelligence (AI) diagnostics for dementia through a focus group as part of the A...
The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study.
JMIR human factors
Feb 11, 2025
BACKGROUND: Dispensing errors significantly contribute to adverse drug events, resulting in substantial health care costs and patient harm. Automated pill verification technologies have been developed to aid pharmacists with medication dispensing. Ho...
Using artificial intelligence to semi-automate trustworthiness assessment of randomized controlled trials: a case study.
Journal of clinical epidemiology
Jan 17, 2025
BACKGROUND AND OBJECTIVE: Randomized controlled trials (RCTs) are the cornerstone of evidence-based medicine. Unfortunately, not all RCTs are based on real data. This serious breach of research integrity compromises the reliability of systematic revi...
Examining sustainable hospitality practices and employee turnover in Pakistan: The interplay of robotics awareness, mutual trust, and technical skills development in the age of artificial intelligence.
Journal of environmental management
Jan 5, 2025
Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover inte...
Enhancing Recommender Systems through Imputation and Social-Aware Graph Convolutional Neural Network.
Neural networks : the official journal of the International Neural Network Society
Dec 31, 2024
Recommendation systems are vital tools for helping users discover content that suits their interests. Collaborative filtering methods are one of the techniques employed for analyzing interactions between users and items, which are typically stored in...
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