Inclusive medical AI: Exploring Diverse Perspectives

Advancements in artificial intelligence (AI) have the potential to transform healthcare by improving diagnosis, treatment outcomes and resource allocation. However, medical AI can also perpetuate existing biases, which have historically disadvantaged underserved patient groups. Developing medical AI systems with disregard to existing biases may contribute to widening rather than removing health disparities. As pointed out by WHO, while AI offers significant opportunities, it also raises fundamental questions about accessibility, human autonomy, equity, and rights. It is crucial to examine these issues in a setting which allows for co-creation of multidisciplinary knowledge.

This Lorentz workshop will explore the concept of inclusivity, collaboration and co-creation methods, best practices, barriers and facilitators and strategies to  realise medical AI inclusivity, with the overall aim to develop a  al research agenda for realising medical Ai inclusivity  Using the method of design thinking as a framework throughout the workshop, the workshop will combine scientific insights with patient and industry perspectives to understand and define the problem and ideate and prototype solutions for inclusive medical AI. The goals for the workshop are to draft a white paper on Inclusive Medical AI and setting up a community of practice with which together we will try to set up new research on medical AI inclusivity.

Topics

• Conceptualisation of inclusivity
• How to realise inclusive medical AI from a patient perspective
• Current methods and best practices for realising AI inclusivity
• Barriers and facilitators for realising AI inclusivity in healthcare
• Requirements for realising inclusive medical AI