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Artificial Intelligence (AI) has been adopted in a wide range of domains.This shows the imperative need to develop means to endow common people with aminimum understanding of what AI means. Combining visual programming and WiSARDweightless artificial neural networks, this article presents a new methodology,AI from concrete to abstract (AIcon2abs), to enable general people (includingchildren) to achieve this goal. The main strategy adopted by is to promote ademystification of artificial intelligence via practical activities related tothe development of learning machines, as well as through the observation oftheir learning process. Thus, it is possible to provide subjects with skillsthat contributes to making them insightful actors in debates and decisionsinvolving the adoption of artificial intelligence mechanisms. Currently,existing approaches to the teaching of basic AI concepts through programmingtreat machine intelligence as an external element/module. After being trained,that external module is coupled to the main application being developed by thelearners. In the methodology herein presented, both training and classificationtasks are blocks that compose the main program, just as the other programmingconstructs. As a beneficial side effect of AIcon2abs, the difference between aprogram capable of learning from data and a conventional computer programbecomes more evident. In addition, the simplicity of the WiSARD weightlessartificial neural network model enables easy visualization and understanding oftraining and classification tasks internal realization.

AI from concrete to abstract: demystifying artificial intelligence to the general public