AIMC Topic: Trust

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Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence.

Journal of biomedical informatics Nov 20, 2023
BACKGROUND: Artificial intelligence and machine learning (AI/ML) technologies like generative and ambient AI solutions are proliferating in real-world healthcare settings. Clinician trust affects adoption and impact of these systems. Organizations ne...
Humans Reproducibility of Results Cross-Sectional Studies Artificial Intelligence Technology Psychometrics Attitude of Health Personnel Trust Surveys and Questionnaires
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Patients' Trust in Artificial Intelligence-based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial.

European urology focus Nov 1, 2023
BACKGROUND: Artificial intelligence (AI) has the potential to enhance diagnostic accuracy and improve treatment outcomes. However, AI integration into clinical workflows and patient perspectives remain unclear.
Trust Middle Aged Aged Male Prostatic Neoplasms Prostatectomy Magnetic Resonance Imaging Physician-Patient Relations Humans Artificial Intelligence Prospective Studies Clinical Decision-Making
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[Faster diagnosis of rare diseases with artificial intelligence-A precept of ethics, economy and quality of life].

Innere Medizin (Heidelberg, Germany) Oct 20, 2023
BACKGROUND: Approximately 300 million people worldwide suffer from a rare disease. An optimal treatment requires a successful diagnosis. This takes a particularly long time, especially for rare diseases. Digital diagnosis support systems could be imp...
Humans Artificial Intelligence Income Trust Rare Diseases Quality of Life
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Improving the Effectiveness of Eigentrust in Computing the Reputation of Social Agents in Presence of Collusion.

International journal of neural systems Oct 7, 2023
The introduction of trust-based approaches in social scenarios modeled as multi-agent systems (MAS) has been recognized as a valid solution to improve the effectiveness of these communities. In fact, they make interactions taking place in social scen...
Neural Networks, Computer Trust Algorithms
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Do preschoolers trust a competent robot pointer?

Journal of experimental child psychology Oct 5, 2023
How young children learn from different informants has been widely studied. However, most studies investigate how children learn verbally conveyed information. Furthermore, most studies investigate how children learn from humans. This study sought to...
Judgment Child, Preschool Robotics Trust Humans
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Perceptual discrimination in the face perception of robots is attenuated compared to humans.

Scientific reports Oct 4, 2023
When interacting with groups of robots, we tend to perceive them as a homogenous group where all group members have similar capabilities. This overgeneralization of capabilities is potentially due to a lack of perceptual experience with robots or a l...
Facial Recognition Robotics Motivation Humans Learning Trust
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[How trustworthy is artificial intelligence? : A model for the conflict between objectivity and subjectivity].

Innere Medizin (Heidelberg, Germany) Sep 22, 2023
For the integration of artificial intelligence (AI) systems into medical processes it is decisive to address both the trustworthiness of these systems and the trust that physicians and patients have in those systems. Too much trust can result in phys...
Technology Trust Artificial Intelligence Humans Physicians
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Choosing human over AI doctors? How comparative trust associations and knowledge relate to risk and benefit perceptions of AI in healthcare.

Risk analysis : an official publication of the Society for Risk Analysis Sep 18, 2023
The development of artificial intelligence (AI) in healthcare is accelerating rapidly. Beyond the urge for technological optimization, public perceptions and preferences regarding the application of such technologies remain poorly understood. Risk an...
Cognition Humans Concept Formation Artificial Intelligence Physicians Trust
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A scalable second order optimizer with an adaptive trust region for neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2023
We introduce Tadam (Trust region ADAptive Moment estimation), a new optimizer based on the trust region of the second-order approximation of the loss using the Fisher information matrix. Despite the enhanced gradient estimations offered by second-ord...
Learning Neural Networks, Computer Trust Algorithms
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An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.

Journal of medical Internet research Sep 6, 2023
BACKGROUND: Predicting the likelihood of success of weight loss interventions using machine learning (ML) models may enhance intervention effectiveness by enabling timely and dynamic modification of intervention components for nonresponders to treatm...
Trust Weight Loss Machine Learning Software Humans Artificial Intelligence
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