In this presentation, the central intuition I pursue is that the phenomenological concept of the life-world can shed new light on the disruptive nature of digital technologies.
In October 2025, I was hired to research how to make AI systems that detect cancers of the primary reproductive organs more inclusive for trans people (i.e., prostate cancer in trans femmes and cervical cancer in trans mascs).
Natural kinds have played a central role in philosophy, informing accounts of scientific explanation and the semantics of proper names (e.g. “Feynman”) and mass terms (e.g. “gold”).
Abstract: As medical artificial intelligence (AI) systems move from pilot studies to service-wide deployment, ethical evaluation must expand beyond predictive performance to include the material conditions that make scaling possible.
While the concept of differential disruption has attracted growing attention in the ethics of technology, its normative dimensions remain underexplored.