kwabena & michaela innovation fellow interview Original

Follow the ambitious journeys of our Innovation Fellows who are harnessing their research to improve the world around us.
Meet Dr Kwabena Nuamah, PhD who aims to develop interpretable inference methods for question answering by automatically composing algorithms. The goal is to create a framework for "whole system reasoning" with explanations, addressing the increasing demand for interpretable AI systems in various domains.
Discover more about Kwabena's work: eil.ac/IFKwabenaNuamah/
Learn more about Kwabena in his interview with Enterprise Executive, Michaela Turner above.