AIMC Topic: Trust

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The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI)-driven symptom checkers are available to millions of users globally and are advocated as a tool to deliver health care more efficiently. To achieve the promoted benefits of a symptom checker, laypeople must tr...

: An investigation of public trust in South Korea.

Journal of communication in healthcare
BACKGROUND: Humanoid robots with artificial intelligence have been implemented in many healthcare facilities including hospitals, nursing homes, and many others. Due to the development of technology and the increasing use of humanoid robots, it is ex...

Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI.

Bioethics
The sudden rise in the ability of machine learning methodology, such as deep neural networks, to identify and predict with great accuracy instances of malignant cell growth from radiological images has led prominent developers of this technology, suc...

Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: To investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis on 3 areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and d...

History-taking revisited: Simple techniques to foster patient collaboration, improve data attainment, and establish trust with the patient.

GMS journal for medical education
The relevance and importance of the medical interview has been challenged with improved imaging technologies, web-based medicine, and use of artificial intelligence. The medical interview has three goals: Acquiring accurate medical data about the pat...

The three ghosts of medical AI: Can the black-box present deliver?

Artificial intelligence in medicine
Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in A Christmas Carol, who guide Ebenezer through the past, present, and future of Christmas holiday events. Similarly, our article takes readers through a journey of the ...

Robot Transparency and Anthropomorphic Attribute Effects on Human-Robot Interactions.

Sensors (Basel, Switzerland)
Anthropomorphic robots need to maintain effective and emotive communication with humans as automotive agents to establish and maintain effective human-robot performances and positive human experiences. Previous research has shown that the characteris...

Before and beyond trust: reliance in medical AI.

Journal of medical ethics
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised ...

A model of symbiomemesis: machine education and communication as pillars for human-autonomy symbiosis.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Symbiosis is a physiological phenomenon where organisms of different species develop social interdependencies through partnerships. Artificial agents need mechanisms to build their capacity to develop symbiotic relationships. In this paper, we discus...

Intentional machines: A defence of trust in medical artificial intelligence.

Bioethics
Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor-patient relationships, trust is therefore regularly suggested as a way of d...