Towards a New Approach for Building Trust and Confidence in Machine Learning Data and Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 1)

Authors

  • Hammou Fadili Laboratoire CEDRIC of CNAM, Fondation Maison Sciences de l'Homme

DOI:

https://doi.org/10.33423/jabe.v22i9.3672

Keywords:

Business, Economics, artificial intelligence, blockchain, machine learning, neural models, sentiments analysis, text mining

Abstract

Sentiments and opinions trends analysis and study are two important disciplines of Big Data exploitation. In our case related to Business Intelligence (BI), they make it possible to detect and extract relevant information from raw unstructured textual data, which we call: Textual Business Intelligence (TBI). It is in this context that we propose a new approach allowing to build trust and confidence in machine learning data and therefore in models: based on an integration and a convergence of artificial intelligence and Blockchain. This first part of the article will be dedicated to the motivation and the state of the art.

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Published

2020-12-03

How to Cite

Fadili, H. (2020). Towards a New Approach for Building Trust and Confidence in Machine Learning Data and Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 1). Journal of Applied Business and Economics, 22(9). https://doi.org/10.33423/jabe.v22i9.3672

Issue

Section

Articles