Policy, Evidence and Financing for Responsible AI

As AI healthcare technologies continue to emerge, existing evaluation approaches have struggled to keep pace. Most assessments depend on expert-led reviews that are time-intensive, difficult to scale, and provide limited incentives for innovators to engage in the evaluation process. This project develops an AI-powered, open-source platform that provides innovators with a standardized assessment framework and personalized roadmap to evaluate and improve their AI solutions' readiness for responsible, real-world deployment. By leveraging AI-driven analysis and evidence-based evaluation frameworks, the platform identifies strengths, uncovers gaps, and delivers actionable recommendations that help innovators translate promising technologies into scalable healthcare solutions. In doing so, it transforms evaluation from a one-time review into an interactive process that encourages continuous improvement while supporting the responsible adoption of AI in healthcare.

 

Students will contribute to the development of a real-world platform at the intersection of artificial intelligence, global health, and software engineering, gaining hands-on experience building tools that make AI evaluation more transparent, accessible, and scalable. The project is supported by the Duke Global Health Innovation Center (Duke GHIC), Innovations in Healthcare (IiH), and GEMINI (Global Emergency Medicine Innovation, Implementation, and Informatics Program at Duke), in partnership with our anchor partner, Society for Family Health (Rwanda).

Final Product Prototype:

https://data-plus-responsible-ai-healthcare.vercel.app/ 

 

Public GitHub Repo: