AIMC Topic: Trust

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Trustworthy Artificial Intelligence in Dentistry: Learnings from the EU AI Act.

Journal of dental research
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...

Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.

The American journal of bioethics : AJOB
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
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...

Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.

BMC medical informatics and decision making
BACKGROUND: Artificial intelligence (AI) is increasingly used for prevention, diagnosis, monitoring, and treatment of cardiovascular diseases. Despite the potential for AI to improve care, ethical concerns and mistrust in AI-enabled healthcare exist ...

Overtrust in AI Recommendations About Whether or Not to Kill: Evidence from Two Human-Robot Interaction Studies.

Scientific reports
This research explores prospective determinants of trust in the recommendations of artificial agents regarding decisions to kill, using a novel visual challenge paradigm simulating threat-identification (enemy combatants vs. civilians) under uncertai...

Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study.

BMC medical ethics
BACKGROUND: In the years to come, artificial intelligence will become an indispensable tool in medical practice. The digital transformation will undoubtedly affect today's medical students. This study focuses on trust from the perspective of three gr...

In human-machine trust, humans rely on a simple averaging strategy.

Cognitive research: principles and implications
With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning to the way that humans and AI work together. A key aspect of human-AI collaboration is how people integrate judgements or recommendations from machi...

Navigating artificial intelligence in care homes: Competing stakeholder views of trust and logics of care.

Social science & medicine (1982)
The COVID-19 pandemic shed light on systemic issues plaguing care (nursing) homes, from staff shortages to substandard healthcare. Artificial Intelligence (AI) technologies, including robots and chatbots, have been proposed as solutions to such issue...