PATHWAYs of precision: AI-driven predictions in neurocognitive and mental illness
Name of applicant
Iben Gjødsbøl
Title
Associate Professor
Institution
University of Copenhagen
Amount
DKK 6,675,429
Year
2025
Type of grant
Semper Ardens: Accelerate
What?
PATHWAY explores how AI-driven predictions in neurocognitive and mental illness establish new pathways for patient selfhood, professional practice, and healthcare delivery. Examining the existential, practical, and organizational dilemmas introduced by novel predictive tools, the project aims to guide a socially and ethically robust implementation of AI in Danish healthcare.
Why?
AI-driven risk predictions promise to personalize prevention, diagnosis, and treatment, yet predictive tools in neurocognitive and mental illness also bring dilemmas and existential threats into the present. There is a need to explore what predictive AI tools actually do in everyday clinical practice - good and bad, intended and unintended - to patients, health professionals, and healthcare delivery.
How?
PATHWAY conducts empirical research to investigate how frontier predictive AI tools are employed to predict dementia and re-admission risk for patients with mental illness. The project conducts ethnographic fieldwork in clinical practice; interviews with patients, families, and health professionals; and Ethical Laboratories to foster interdisciplinary moral deliberation among diverse stakeholders.