In the last several months, several major disciplines have started their initial reckoning with what ChatGPT and other Large Language Models (LLMs) mean for them – law, medicine, business among other professions. With a heavy dose of humility, given how fast the technology is moving and how uncertain its social implications are, this article attempts to give some early tentative thoughts on what ChatGPT might mean for bioethics. I will first argue that many bioethics issues raised by ChatGPT are similar (...) to those raised by current medical AI – built into devices, decision support tools, data analytics, etc. These include issues of data ownership, consent for data use, data representativeness and bias, and privacy. I describe how these familiar issues appear somewhat differently in the ChatGPT context, but much of the existing bioethical thinking on these issues provides a strong starting point. There are, however, a few “new-ish” issues I highlight – by new-ish I mean issues that while perhaps not truly new seem much more important for it than other forms of medical AI. These include issues about informed consent and the right to know we are dealing with an AI, the problem of medical deepfakes, the risk of oligopoly and inequitable access related to foundational models, environmental effects, and on the positive side opportunities for the democratization of knowledge and empowering patients. I also discuss how races towards dominance (between large companies and between the U.S. and geopolitical rivals like China) risk sidelining ethics. (shrink)

Editorial preface to the fourth edition and modified translation -- The text of the Philosophische Untersuchungen -- Philosophische untersuchungen = Philosophical investigations -- Philosophie der psychologie, ein fragment = Philosophy of psychology, a fragment.

Large language models (LLMs) such as ChatGPT or Google’s Bard have shown significant performance on a variety of text-based tasks, such as summarization, translation, and even the generation of new...

In an April 2023 article in JAMA Pediatrics, ‘Life Support System for the Fetonate and the Ethics of Speculation’, authors De Bie, Flake and Feudtner critique bioethicists for practising what they call ‘speculative ethics’. The authors refer to a 2017 article that they published on the Extra-uterine Environment of Neonatal Development (EXTEND) system. This system was able to keep fetonatal (newborn, but in a fetal physiological state) lambs alive outside of the parent lamb’s womb for 4 weeks. The article has (...) been accessed almost 300 000 times and received significant media attention. It also resulted in an explosion in the bioethics literature about ‘the ethics of the artificial womb’. However, the authors bemoan, these ethics discussions focused largely on unrealistic use cases of the new technology—from elective shortening of pregnancies to complete ectogenesis. The authors dubbed these discussions as ‘a technically and developmentally naive, yet sensationally speculative, pipe dream’. The use case of the EXTEND technology that is most realistic involves supporting extremely premature newborns (23–24 weeks). Other probable uses include supporting infants in later gestational ages (25–28 weeks) with pathological conditions, potentially allowing for surgeries or other therapeutics to be delivered without imposing risks on pregnant patients. To …. (shrink)

Artificial intelligence (AI) and its introduction into clinical pathways presents an array of ethical issues that are being discussed in the JME. 1–7 The development of AI technologies that can produce text that will pass plagiarism detectors 8 and are capable of appearing to be written by a human author 9 present new issues for medical ethics. One set of worries concerns authorship and whether it will now be possible to know that an author or student in fact produced submitted (...) work. That seems likely to be a general worry for secondary and higher education, as well as for all academic journals. Thus far generative AI chatbots do not seem to be able to produce a fully referenced and well-argued ethics article, but they probably could generate a blog or student essay that would... (shrink)

This is the first book that explains how you actually go about doing good bioethics. John McMillan develops an account of the nature of bioethics; he reveals how a number of methodological spectres have obstructed bioethics; and then he shows how moral reason can be brought to bear upon practical issues via an 'empirical, Socratic' approach.