Sasha Lee Smit
Thesis title: The role of machine learning generated health categories in epistemically (un)just healthcare practices
Contact details
- Email: S.L.Smit@ed.ac.uk
PhD supervisors:
Background
Sasha is an interdisciplinary PhD researcher at Edinburgh Law School, the Mason Institute, and the Centre for Technomoral Futures. Her research explores the intersection between healthcare, ethics, identity politics, and technology, specifically in identifying and analysing the role that machine learning plays in epistemically just or unjust healthcare practices.
Qualifications
MA by research in Philosophy from the University of Pretoria, graduated with distinction
BA (Hons) in Philosophy from the University of Pretoria
Research summary
Sasha's current project aims to explore how newly developed AI and machine learning (ML) tools may impact the epistemic climate that both healthcare users and professionals participate in. This project further seeks to identify how epistemic injustice may be linked to the implementation of ML generated health categories and how current conceptualisations of epistemic justice and injustice may need to be expanded upon for the purpose of understanding this link. Further, this project aims to identify ways to create and implement measures to combat these injustices without rejecting the benefits of ML in healthcare provision.