Skip to content

The Duty to Have Courage: Developing the Theory of Epistemic Injustice

The Doctor Will Speak as You Prefer? How AI Could Personalize Medical Communication

(This blog post was originally published in the JME Forum) By Hazem Zohny, Jemima Winfried Allen, Dominic Wilkinson, and Julian Savulescu. When you go to the doctor, there’s little telling what kind of communicator you’ll get. Some doctors are on the paternalistic side, telling you what you should do without much discussion. Others just give… Read More »The Doctor Will Speak as You Prefer? How AI Could Personalize Medical Communication

Banning first cousin marriage would be eugenic and ineffective

Dominic Wilkinson, University of Oxford A bill that proposes to ban first-cousin marriage in the UK will receive its second reading in the House of Commons on March 7. The bill, proposed by Conservative former minister Richard Holden, follows the introduction of a ban on cousin marriages that came into effect in Norway in 2023… Read More »Banning first cousin marriage would be eugenic and ineffective

Legislating for Influence: The Case of Abortion Safe Zones

  • by

by Thomas Mitchell In September last year, the Abortion Services (Safe Access Zones) (Scotland) Act 2024 came into effect. This Act establishes safe zones of 200 metres in all directions around clinics offering abortion services, within which special protections apply to patients and staff accessing the clinic. The purpose is to prevent anyone from stopping women… Read More »Legislating for Influence: The Case of Abortion Safe Zones

Iatrogenic to AI-trogenic Harm: Nonmaleficence in AI healthcare

  • by

By S. Tom de Kok Artificial Intelligence (AI) in healthcare promises to revolutionize diagnostics, treatments, and efficiency, but it is not infallible. What happens when these promises are accompanied by harms that are difficult to define, attribute, or address? The term AI-trogenic harm—a novel term for the unintentional harm caused by artificial intelligence (AI) in… Read More »Iatrogenic to AI-trogenic Harm: Nonmaleficence in AI healthcare