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)

Fadili, Hammou

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JOURNAL OF APPLIED BUSINESS AND ECONOMICS

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)

Author(s): Hammou Fadili

Citation: Hammou Fadili, (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, Vol. 22, Iss.9, pp. 109-118

Article Type: Research paper

Publisher: North American Business Press

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.