APRU Global Health
Pre-conference Workshop 2025
Date: Oct 28, 2025, 10:00AM – 4:30PM
Venue: Universiti Malaya, Kuala Lumpur, Malaysia
Theme: Preparing Health Systems for the Future of AI for Health: Ethical Challenges and Lessons Learnt
This workshop is held as a pre-conference event of the APRU Global Health Conference 2025, bringing together experts and stakeholders to address the ethical dimensions of AI in health systems.
AI is rapidly transforming health research and practice, offering powerful tools for early disease detection, diagnosis, error reduction, patient care optimization, risk prediction, and community-based data analysis. However, the integration of AI also raises significant ethical concerns, especially in studies involving human subjects. Key challenges include data privacy and security, patient safety, algorithmic bias, transparency, equitable access, and the risk of digital colonialism.
Using a regional equity lens, the overall aim of this workshop is to develop a framework of ethical digitization of health information systems for governments of Asia-Pacific economies at different stages of development, which could have application to other contexts outside of the region.
A key focus will be understanding how to support ethical digitalization of health data and determining the necessary steps and support for optimization of health systems in an ethical manner.
Participants will:
- explore the ethical frameworks and safeguards essential for the responsible design and evaluation of AI-powered health research.
- co-develop through round table discussions, key considerations and potential guidelines for the ethical use of AI in health that will feed into the development of a consensus statement that reflects the diverse views of global stakeholders.
The objectives of the workshop are to:
- Articulate regionally relevant ethical principles for AI‑driven health applications (including research, operations, and systems).
- Draft a consensus statement outlining specific commitments on data stewardship, bias mitigation, transparency, and safety monitoring.
- Map practical steps and resources required for governments at varying maturity levels to implement these commitments.
- Foster a multi‑stakeholder network for continued collaboration and capacity building.