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Reasons in the Loop: The Role of Large Language Models in Medical Co-Reasoning
American Journal of Bioethics 24 (9):105-107 (2024)
Abstract
Salloch and Eriksen (2024) present a compelling case for including patients as co-reasoners in medical decision-making involving artificial intelligence (AI). Drawing on O'Neill’s neo-Kantian frame...Author Profiles
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Citations of this work
Some Extensions of the Loop: A Response to the Comments on Machine Learning-Driven Decision Aids.Sabine Salloch & Andreas Eriksen - forthcoming - American Journal of Bioethics:1-3.
References found in this work
A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable.Brian D. Earp, Sebastian Porsdam Mann, Jemima Allen, Sabine Salloch, Vynn Suren, Karin Jongsma, Matthias Braun, Dominic Wilkinson, Walter Sinnott-Armstrong, Annette Rid, David Wendler & Julian Savulescu - 2024 - American Journal of Bioethics 24 (7):13-26.
AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle.Sebastian Porsdam Mann, Brian D. Earp, Nikolaj Møller, Suren Vynn & Julian Savulescu - 2023 - American Journal of Bioethics 23 (10):28-41.
What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.Sabine Salloch & Andreas Eriksen - 2024 - American Journal of Bioethics 24 (9):67-78.
How to Use AI Ethically for Ethical Decision-Making.Joanna Demaree-Cotton, Brian D. Earp & Julian Savulescu - 2022 - American Journal of Bioethics 22 (7):1-3.
Consent-GPT: is it ethical to delegate procedural consent to conversational AI?Jemima Winifred Allen, Brian D. Earp, Julian Koplin & Dominic Wilkinson - 2024 - Journal of Medical Ethics 50 (2):77-83.
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