Selected Publications
- Kreitmair, K. (2025) “The Fundamental Fallacy of “Empathic AI””, Hastings Center Report, 55 (3), 36-44.
- Kreitmair, K. (2025) “On the Ethical Permissibility of In Situ Reperfusion in Cardiac Transplantation after the Declaration of Circulatory Death”, Journal of Medical Ethics, 51(5).
- Kreitmair, K. (2024) “Mobile Health Technology and Empowerment”, Bioethics, 38(6), [481-490].
- (“Wiley Top-Cited Article”)
- Kreitmair, K. (2023) “Consciousness and the Ethics of Human Brain Organoid Research”, Cambridge Quarterly of Healthcare Ethics, 34(4), 518-528.
- Kreitmair, K. (2019) “Dimensions of Ethical Direct-to-Consumer Neurotechnologies”, American Journal of Bioethics – Neuroscience, 10 (4), 152-166.
FRIAS Project
Ethical and Philosophical Considerations around Offloading Clinical Encounters from Human Clinicians onto AI Chatbots
My proposed project builds on my existing work on the ethics of ‘empathic AI’ in the clinic setting. This prior work was done, in part, during my Alumna Fellowship in 2025. In it, I show that the Hegelian notion of existential recognition is ethically required for, at minimum, high-stakes clinician-patient encounters. I also argue that patients have a justified expectation of receiving this kind of recognition in encounters, and that AI chatbots are incapable of providing this recognition. Consequently, I maintain that the use of AI chatbots in medicine is ethically problematic. In my proposed project, I aim to develop a positive account of how chatbots may be utilized in clinical encounters. Not all clinical encounters generate the same degree of ethical requirement. Therefore, I will stratify types of clinical encounters, ranging from clinically peripheral ones, such as scheduling conversations, to high stakes encounters, such as goals-of-care conversations. I then provide an analysis of the relevant ethical requirements for each type of encounter. One of the main phenomena cited as a driver for the offloading of clinical encounters on AI chatbots is clinician burn out and moral distress. Consequently, it is important that an ethics of offloading addresses how this offloading interacts with the phenomena of clinician burnout and moral distress. AI chatbots do not have a visceral moral distress response to ethically problematic situations in the way human clinicians do. While moral distress in clinicians is naturally cast in a negative light, I intend to argue that it is a crucial data point that allows for ethical progress to be made. Without moral distress, we lose a valuable guide as to where ethical challenges lie. Consequently, I plan to argue that while it is appropriate to offload some work onto AI chatbots, it is vital that the existentially and morally relevant work remain with humans. (Of course, other avenues for addressing moral distress must be found.)
