Our topic today is INTERPRETABLE AI and its correlation with Accurate AI. We will learn about Data Driven Architecture, the three algorithms for business analytics (Descriptive algorithms, predictive algorithms and prescriptive algorithms) and Isao will also talk about the new MIT Sloan course "Business Analytics". In the end he will talk about how the most important AI models fit into the 2-dimensional graph "Accuracy vs Interpretability" and we will discuss which impact or risk highly accurate but low interpretable graphs have.
Isao, CEO of enFaith, Japan, himself has worked in the field of IoT service development for many years, worked on optimal energy control for homesin smart cities and was National AI Project Team Leader to develop a recommendation engine that utilises cellular location information. This recommendation engine has been used in Japan during Covid to grasp large-scale movement.