By Koki Kato English is not my first language, so generative artificial intelligence (AI) can be particularly helpful when I write academic papers in English. It can make my sentences clearer, more concise and more natural. But I have also encountered a curious problem: sometimes AI makes my writing better and my argument worse. A […]
Category: Artificial intelligence
The author as reporter of research advancing AI output
By Shane Ryan What’s the point of academic research? An obvious answer is to advance knowledge and understanding in our various subject areas. Indeed, when peer reviewers judge that manuscripts submitted to journals do this, then often they recommend that those manuscripts be published. That a central goal of research is to advance knowledge and […]
Why journal editors should stop policing authorship
By Udo Schuklenk Brian Earp and colleagues invited commentaries on authorship and generative AI. They offer us some good reasons for why generative AI will be forcing us to disaggregate authorship, and also for the view that we may need different authorship criteria for different outputs. Perhaps they are right. My commentary goes in a […]
The ontological shift: Why AI in clinical practice is a question of being
Farid bin Masood Much has been written for and against AI’s application in healthcare including screening, prediction, and simulation. But there’s a component of clinical work that matters just as much, maybe more: the clinician’s work as a human, including communicating with the patient and making decisions when faced with uncertainty. Much is being written […]
Advertising to the distressed: The commodification of mental health data in AI chatbots
By Nicole Gross and Hannah van Kolfschooten Generative Artificial Intelligence (genAI) chatbots have become an important outlet for many people around the world who are experiencing mental health issues. Of its 800 million weekly users, around 10 percent use ChatGPT for emotional support while more than one million use the chatbot to talk about issues […]
Computer programs for moral advice
By Lars Lindblom and Erik Gustavsson AI is coming to health care. But what is AI? Ethem Alpaydin’s excellent Machine Learning: The New AI provides a helpful definition: Programing computers to do things, which, if done by humans, would be said to require “intelligence”. This definition captures something important about how to conceive of AI […]
Don’t let AI steal your first thought
By Nguyen Phu Nghia In January 2026, Utah (USA) announced a first-in-the-nation partnership allowing an AI system to support prescription medication renewals for patients, moving beyond suggestion and into direct participation in clinical workflow. Similarly, Mass General Brigham has implemented an AI-supported primary care program in which an AI agent collects patient histories, generates preliminary […]
The ethics of Ant Afu: Health AI within China’s super-app ecosystem
By Miranda Qianyu Wang On 15 December 2025, Ant Group rebranded its healthcare app as “Ant Afu,” repositioning it from a diagnostic tool to an “AI Health Friend.” Embedded within Alipay – the digital payment platform used daily by over a billion people in China – Afu offers personalised health companionship and connects users directly […]
Testing AI in real-world medical ethics
By Daniel Sokol This post adds to the literature on AI in medical ethics by testing how freely available AI models perform when presented with realistic ethical scenarios relevant to clinical practice. In May 2025, I wrote a blog about ChatGPT’s performance in an ‘honesty test’ for clinicians. It scored an impressive 43/44, outperforming the […]
LLMs and mental health: A problem still unaddressed
By Bosco Garcia, Eugene Chua and Harman Brah ChatGPT made tragic news at the end of the summer with the case of Adam Raine, a teenage boy who, after a series of conversations with the model, ended up taking his life. The parents have initiated a lawsuit, alleging that ChatGPT acted as a “suicide coach”, […]