AIMC Topic: Trust
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Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.
International journal of medical informatics
Dec 30, 2024
INTRODUCTION: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, tru...
Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 21, 2024
BACKGROUND: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed f...
Knowledge is not all you need for comfort in use of AI in healthcare.
Public health
Dec 18, 2024
OBJECTIVES: The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly ...
People expect artificial moral advisors to be more utilitarian and distrust utilitarian moral advisors.
Cognition
Dec 12, 2024
As machines powered by artificial intelligence increase in their technological capacities, there is a growing interest in the theoretical and practical idea of artificial moral advisors (AMAs): systems powered by artificial intelligence that are expl...
Release of complex imaging reports to patients, do radiologists trust AI to help?
Current problems in diagnostic radiology
Dec 10, 2024
BACKGROUND: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. However, these reports are often too complex for the lay patient, potentially leading to stress and anxiety. While solutions such as patien...
Explainable AI and trust: How news media shapes public support for AI-powered autonomous passenger drones.
Public understanding of science (Bristol, England)
Dec 9, 2024
This study delves into the intricate relationships between attention to AI in news media, perceived AI explainability, trust in AI, and public support for autonomous passenger drones. Using structural equation modelling ( = 1,002), we found significa...
Clouds on the horizon: clinical decision support systems, the control problem, and physician-patient dialogue.
Medicine, health care, and philosophy
Dec 7, 2024
Artificial intelligence-based clinical decision support systems have a potential to improve clinical practice, but they may have a negative impact on the physician-patient dialogue, because of the control problem. Physician-patient dialogue depends o...
When the bot walks the talk: Investigating the foundations of trust in an artificial intelligence (AI) chatbot.
Journal of experimental psychology. General
Dec 5, 2024
The concept of trust in artificial intelligence (AI) has been gaining increasing relevance for understanding and shaping human interaction with AI systems. Despite a growing literature, there are disputes as to whether the processes of trust in AI ar...
Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study.
JMIR formative research
Nov 27, 2024
BACKGROUND: Diagnostic errors are significant problems in medical care. Despite the usefulness of artificial intelligence (AI)-based diagnostic decision support systems, the overreliance of physicians on AI-generated diagnoses may lead to diagnostic ...
Justifying Our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach.
Science and engineering ethics
Nov 21, 2024
We address an open problem in the philosophy of artificial intelligence (AI): how to justify the epistemic attitudes we have towards the trustworthiness of AI systems. The problem is important, as providing reasons to believe that AI systems are wort...
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