- Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?Joshua Hatherley - forthcoming - Journal of Medical Ethics.details
|
|
Non-empirical methods for ethics research on digital technologies in medicine, health care and public health: a systematic journal review.Frank Ursin, Regina Müller, Florian Funer, Wenke Liedtke, David Renz, Svenja Wiertz & Robert Ranisch - forthcoming - Medicine, Health Care and Philosophy:1-16.details
|
|
Moral sensitivity and the limits of artificial moral agents.Joris Graff - 2024 - Ethics and Information Technology 26 (1):1-12.details
|
|
Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation.Patrik Hummel, Matthias Braun, Serena Bischoff, David Samhammer, Katharina Seitz, Peter A. Fasching & Peter Dabrock - forthcoming - AI and Society:1-15.details
|
|
Why We Should Understand Conversational AI as a Tool.Marlies N. van Lingen, Noor A. A. Giesbertz, J. Peter van Tintelen & Karin R. Jongsma - 2023 - American Journal of Bioethics 23 (5):22-24.details
|
|
AI and society: a virtue ethics approach.Mirko Farina, Petr Zhdanov, Artur Karimov & Andrea Lavazza - forthcoming - AI and Society:1-14.details
|
|
Relative explainability and double standards in medical decision-making: Should medical AI be subjected to higher standards in medical decision-making than doctors?Saskia K. Nagel, Jan-Christoph Heilinger & Hendrik Kempt - 2022 - Ethics and Information Technology 24 (2):20.details
|
|
Response to our reviewers.Juan Manuel Durán & Karin Rolanda Jongsma - 2021 - Journal of Medical Ethics 47 (7):514-514.details
|
|
Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals’ preferences and concerns.Florian Funer, Wenke Liedtke, Sara Tinnemeyer, Andrea Diana Klausen, Diana Schneider, Helena U. Zacharias, Martin Langanke & Sabine Salloch - 2024 - Journal of Medical Ethics 50 (1):6-11.details
|
|
Agree to disagree: the symmetry of burden of proof in human–AI collaboration.Karin Rolanda Jongsma & Martin Sand - 2022 - Journal of Medical Ethics 48 (4):230-231.details
|
|
Artificial Intelligence Needs Data: Challenges Accessing Italian Databases to Train AI.Ciara Staunton, Roberta Biasiotto, Katharina Tschigg & Deborah Mascalzoni - 2024 - Asian Bioethics Review 16 (3):423-435.details
|
|
Moral Relevance Approach for AI Ethics.Shuaishuai Fang - 2024 - Philosophies 9 (2):42.details
|
|
“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease.Angeliki Kerasidou, Christoffer Nellåker, Aurelia Sauerbrei, Shirlene Badger & Nina Hallowell - 2022 - BMC Medical Ethics 23 (1):1-14.details
|
|
Putting explainable AI in context: institutional explanations for medical AI.Jacob Browning & Mark Theunissen - 2022 - Ethics and Information Technology 24 (2).details
|
|