Exploring the ethical consequences of black-box medicine. Autonomy, responsibility and the prospects of explainable AI

Start - End 
2020 - 2024 (completed)
Type 
Department(s) 
Department of Philosophy and moral sciences
Research group(s) 

Tabgroup

Abstract

Clinical Decision Support Systems (CDSSs) and Patient Decision Aids (PDAs) are increasingly used in clinical practice. Their effectiveness is judged using different outcome measures. For example, PDAs are evaluated using decisional regret, decisional conflict and decision quality as outcome measures. This project investigates how these outcome measures relate to patient autonomy. For as PDAs systematically influence the decision-making process, we need to make sure that the different outcome measures we use to evaluate PDAs scientifically align with our ethical principles.

 

People

Supervisor(s)

Phd Student(s)

Publications