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Abstract

In this poster, we discuss an interdisciplinary, open educational resource to provide help for Data Science researchers and practitioners looking for Explainable Machine Learning methods.

A significant set of success cases studies of Explainable Machine Learning will be collected and organized. Related publications, corresponding code, etc will be included. A free resource for researchers and practitioners to find and follow the latest state-of-the-art Explainable Machine Learning methods will be created.

In addition, a recommendation system based on experts opinions will be developed using the variety of information previously collected. Given an input information regarding the problem under consideration (as complete as possible) the system will look for the most similar explainable solutions and provides a guide for the resarcher.

In our opinion, to develop this project, an online community of data scientists, machine learners and experts on a number of application domains should be involved as part of a CHIST-ERA project.

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