Reasons in the loop: The role of large language models in medical co-reasoning

S Porsdam Mann, BD Earp, P Liu… - The American Journal of …, 2024 - Taylor & Francis
Rudin, C. 2019. Stop explaining black box machine learning models for high stakes
decisions and use interpretable models instead. Nature Machine Intelligence 1 (5): 206–15 …

A holistic, multi-level, and integrative ethical approach to developing machine learning-driven decision aids

A Ho, J Brake, A Palmer, CE Binkley - The American Journal of …, 2024 - Taylor & Francis
Anita Ho a, b, c, Jad Brake a, Amitabha Palmer d, e, f and Charles E. Binkley g, h, ia
university of British columbia; b university of california, san francisco; c commonspirit health; …

Early AI lifecycle co-reasoning: Ethics through integrated and diverse team science

DM Pacia, V Ravitsky, JN Hansen… - The American Journal …, 2024 - Taylor & Francis
In their target article, Salloch and Eriksen (2024) argue that a “meaningful process of
interrogating” between physicians and patients is the most appropriate way to evaluate …

From human-in-the-loop to human-in-power

EL Zheng, W Jin, G Hamarneh… - The American Journal of …, 2024 - Taylor & Francis
When using Artificial Intelligence (AI) in medical settings, the critical role of humans in
decision-making and accountability is often emphasized using terms such as “human-in-the …

What Do We Do with Physicians When Autonomous AI-Enabled Workflow is Better for Patient Outcomes?

MD Abramoff, D Char - The American Journal of Bioethics, 2024 - Taylor & Francis
At a time in medicine where the cost of human clinical labor continues to rise, with an overall
shortage of providers at all levels, improved AI performance raises critical, pressing …

A Plea for (In) Human-centred AI

M Braun, D Meacham - Philosophy & Technology, 2024 - Springer
In this article, we use the account of the “inhuman” that is developed in the work of the
French philosopher Jean-François Lyotard to develop a critique of human-centred AI. We …

Limitations of patient-physician co-reasoning in AI-driven clinical decision support systems

K Kostick Quenet, SS Ayaz - The American Journal of Bioethics, 2024 - Taylor & Francis
Integrating artificial intelligence (AI) into healthcare can potentially revolutionize how clinical
decisions are made. Advancements in AI-driven Clinical Decision Support Systems …

Some extensions of the loop: a response to the comments on machine learning-driven decision aids

S Salloch, A Eriksen - The American Journal of Bioethics, 2024 - Taylor & Francis
According to Sutton et al. a “clinical decision support system (CDSS) is intended to improve
healthcare delivery by enhancing medical decisions with targeted clinical knowledge …

From “Human in the Loop” to a Participatory System of Governance for AI in Healthcare

Z Griffen, K Owens - The American Journal of Bioethics, 2024 - Taylor & Francis
The common “human in the loop” narrative in artificial intelligence (AI) implementation is in
critical need of analysis and explanation, as Salloch and Eriksen (2024) rightfully argue …

A knower without a voice: Co-reasoning with machine learning

E Gilmore-Szott, R Dougherty - The American Journal of Bioethics, 2024 - Taylor & Francis
Bioethical consensus promotes a shared decision making model, which requires healthcare
professionals to partner their knowledge with that of their patients—who, at a minimum …