AIMC Topic: Trust
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How sociodemographic factors relate to trust in artificial intelligence among students in Poland and the United Kingdom.
Scientific reports
Nov 20, 2024
The article aims to determine the sociodemographic factors associated with the level of trust in artificial intelligence (AI) based on cross-sectional research conducted in late 2023 and early 2024 on a sample of 2098 students in Poland (1088) and th...
Towards generalizable face forgery detection via mitigating spurious correlation.
Neural networks : the official journal of the International Neural Network Society
Nov 17, 2024
The continuous advancement of face forgery techniques has caused a series of trust crises, posing a significant menace to information security and personal privacy. In response, deep learning is being employed to develop effective detection methods t...
Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education.
Academic medicine : journal of the Association of American Medical Colleges
Nov 14, 2024
In this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating genera...
Why we should talk about institutional (dis)trustworthiness and medical machine learning.
Medicine, health care, and philosophy
Nov 13, 2024
The principle of trust has been placed at the centre as an attitude for engaging with clinical machine learning systems. However, the notions of trust and distrust remain fiercely debated in the philosophical and ethical literature. In this article, ...
Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.
Oral radiology
Oct 9, 2024
OBJECTIVES: This study intended to evaluate patients' attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists.
Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human-Machine Trust.
Journal of advanced nursing
Sep 28, 2024
AIM: This study examines how social influence, human-machine trust and perceived job stress affect nurses' behavioural intentions towards AI-assisted care technology adoption from a new perspective and framework. It also explores the interrelationshi...
Trustworthy Artificial Intelligence in Dentistry: Learnings from the EU AI Act.
Journal of dental research
Sep 23, 2024
Artificial intelligence systems (AISs) gain relevance in dentistry, encompassing diagnostics, treatment planning, patient management, and therapy. However, questions about the generalizability, fairness, and transparency of these systems remain. Regu...
Unveiling the Future of Postoperative Outcomes Prediction: The Role of Machine Learning and Trust in Healthcare.
Journal of medical systems
Sep 21, 2024
Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.
The American journal of bioethics : AJOB
Sep 17, 2024
Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, us...
Supporting Trustworthy AI Through Machine Unlearning.
Science and engineering ethics
Sep 11, 2024
Machine unlearning (MU) is often analyzed in terms of how it can facilitate the "right to be forgotten." In this commentary, we show that MU can support the OECD's five principles for trustworthy AI, which are influencing AI development and regulatio...
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