1. Identify Risks and Challenges: Explore the economic, ethical, and social asymmetries that can arise with digital health technologies and AI, particularly in low-resource and emergency settings, to understand the potential risks and challenges that may place vulnerable populations at harm.

2. Examine Digital Health Transformation gaps: Investigate the digital health foundation challenges, the GAPS (Governance, Architectural design, People and Standards and Interoperability) and the misplaced investment that contributes to fragmented data, non-locally produced solutions, redundant investments, and non-interoperable solutions

3. Mitigation Strategies Development: Develop strategies to mitigate the risks of economic, ethical, and social asymmetries by emphasizing the importance of  stakeholder engagement, and local production and accountability in the design and implementation of health technologies and AI.

4. Promote Open Solutions: Discuss the potential of open Standards, open Technologies, open Architectures, and open Content and DPIs (Digital Public Infrastructure) in creating interoperable, sustainable, and evidence-based AI and digital health systems that align with international frameworks like the Global Strategy on Digital Health.

5. Highlight Stakeholder Engagement: Emphasize the importance of inclusive stakeholder engagement (including private sector) to ensure that emerging health technologies genuinely promote health equity and do not exacerbate existing disparities.

6. Formulate Policy Recommendations: Formulate regulatory and policy recommendations that prioritize equity and accountability, quality assurance, privacy and trust, fostering a governance framework that supports responsible innovation in digital health technologies and AI.

7. Foster Global Collaboration: Encourage international collaboration to create digital [3] that supports interoperability and equity while reducing economic, ethical, and social disparities across different regions.