On today’s post, Mara Floris explores the role of existing medical evidence in identifying instances of epistemic injustice. Mara is a philosophy of science researcher at Università Vita-Salute San Raffaele in Milan, working on epistemic injustice, healthcare communication, and gender-fair language. Mara Floris Recent debates on epistemic injustice in healthcare have raised an important methodological question: how can we establish that epistemic injustice is occurring? Nielsen et al. (2025) argue that the field needs clearer conceptual criteria and stronger empirical evidence, particularly for claims about testimonial injustice. A response by members of the EPIC project develops this discussion, arguing for an empirically informed but methodologically pluralistic approach (Byrne et al., 2026) . Færge et al (2026) similarly emphasise methodological pluralism. My recent paper takes this discussion in another direction: we need better ways of identifying epistemic injustice, but shoul...
On today's post, Yufeng Liu (Lancaster University), whose research focuses on metaphor, health communication and AI, explores whether AI can understand the metaphors we use about illness. Yufeng Liu Can AI Understand the Metaphors We Use About Illness? When people talk about cancer or depression, they often use metaphors. Cancer can be an “enemy” to fight, recovery can be a “journey”, and depression can feel like “darkness”, a “heavy burden”, or being “trapped in a box”. These expressions do more than describe illness. They help people make sense of difficult experiences and communicate feelings that may otherwise be hard to put into words. I use “AI” broadly here to include large language models, and this study focuses on ChatGPT. As more people turn to it for comfort, or simply someone to talk to, I asked: can ChatGPT pick up the metaphors people use about illness, and does it respond differently when the same experience is expressed literally? In my recent article, “ Expl...