As rates of Parkinson’s disease continue to rise, so does interest in using predictive artificial intelligence (AI) to support (self-)care. But how do people with Parkinson’s themselves feel about these technologies?

This presentation explores the ethical dimensions of predictive AI in Parkinson’s management from the perspective of people living with the condition. Drawing primarily on a qualitative study with a patient panel in a European project developing predictive AI tools, we examine how participants view AI-driven risk prediction, prognosis, and medication response tools.

The session will discuss practical implications for responsible implementation, emphasizing the need to actively involve people with Parkinson’s in development and decision-making, ensure appropriate communication of sensitive predictions, and build safeguards to prevent harm and widening inequalities.