AI from Concrete to Abstract

Artificial intelligence (AI) has been adopted in a wide range of domains. This shows the imperative need to contribute making citizens insightful actors debates and decisions involving adoption AI mechanisms. Currently, existing approaches teaching basic concepts through programming treat machine as an external element/module. After being trained, that module is coupled main application. Combining block-based WiSARD weightless artificial neural networks, this article presents conceptualization design new methodology, from concrete abstract (AIcon2abs), endow general people (including children) with minimum understanding what means. The strategy was include training classification primitives blocks compose otherwise conventional computer program. way, programmer can use these he/she uses other constructs. In order achieve purpose, we also propose BlockWiSARD, environment designed promote demystification via practical activities related development learning machines, well observation their process. As beneficial side effect difference between program capable data becomes more evident. addition, simplicity network model enables easy visualization tasks internal realization.