Curb your enthusiasm: how to use large language models in medical ethics?

By Andrea Ferrario and Nikola Biller-Andorno. A technology enthusiast (TE) and a medical ethicist (ME) walk into a bar. Over a few rounds of drinks, their discussion shifts to the topic of large language models (LLMs) and their use in medical ethics. TE: Have you seen the latest? Technology using LLM, like OpenAI’s GPT-4, is […]

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From bytes to bedside: Exploring AI in medical ethics

By Michael Balas. In the swiftly advancing realm of artificial intelligence (AI), a tantalizing question emerges: can AI systems help us navigate the murky waters of medical ethics? Our recent study, published in the Journal of Medical Ethics (JME), tackled this very question, and our findings were enlightening. At the heart of our research was […]

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Should AI allocate livers for transplant?

By Max Drezga-Kleiminger, Joanna Demaree-Cotton, Julian Koplin, Julian Savulescu, and Dominic Wilkinson. The field of artificial intelligence (AI) is moving rapidly. In the (recent) past, we could hide behind the knowledge that much of the ethical discourse around AI was in hypothetical terms – we were discussing what we should do in case technology progressed […]

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How much credibility does my testimony deserve? This is not for an algorithm to decide!

By Giorgia Pozzi. The hype about the promises of machine learning (ML) systems in medicine is real, even though not always justified. As ethicists have been increasingly pointing out in the past years, quite some work still needs to be done to ensure their responsible use and safeguard fundamental bioethical principles, such as justice and […]

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It takes a village to build a good algorithm – particularly in a field as sensitive as patient preferences

By Nikola Biller-Andorno, Andrea Ferrario, Sophie Gloeckler Recently, there has been a lot of talk about how artificial intelligence (AI) is going to boost personalized medicine. And, indeed, the field is developing with amazing speed: Digital twins help predict treatment outcomes based on genomic data, AIs can automatically classify lesions from images of the skin […]

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Meeting the challenges of using automated second opinions

By Hendrik Kempt and Saskia K. Nagel. Diagnostics is a difficult inferential process requiring an immense amount of cognitive labor. Not only must physicians gather evidence and evaluate that evidence to fit the symptoms of a patient, they usually need to do that with imperfect knowledge in an ever changing field of research, and limited […]

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