Research Article
The Development of the Artificial Intelligence in The Fields of Engineering, Medicine and Manufacturing Industries
@INPROCEEDINGS{10.4108/eai.25-10-2023.2348714, author={Fatima Al-Qaoud and Ahmad Aldelemy and Claudia Barbosa and Andrew Carruthers}, title={The Development of the Artificial Intelligence in The Fields of Engineering, Medicine and Manufacturing Industries}, proceedings={Proceedings of the 3rd International Multi-Disciplinary Conference: “Integrated Sciences and Technologies”, IMDC-IST 2023, 25-27 October 2023, Yola, Nigeria}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2024}, month={8}, keywords={artificial intelligence machine learning algorithm engineering medicine manufacturing industries explainable artificial intelligence explainability causability support vector machine k-nearest neighbour random forest}, doi={10.4108/eai.25-10-2023.2348714} }- Fatima Al-Qaoud
Ahmad Aldelemy
Claudia Barbosa
Andrew Carruthers
Year: 2024
The Development of the Artificial Intelligence in The Fields of Engineering, Medicine and Manufacturing Industries
IMDC-IST
EAI
DOI: 10.4108/eai.25-10-2023.2348714
Abstract
This paper presents definitions and implementations of ‘Artificial Intelligence’ that have been discussed academically and applied in different fields such as Engineering, Medicine, and Manufacturing industries. Furthermore, the paper outlines the development of AI systems since its emergence to the present. With the emergence of black box of data acquired by systems that are processed during the system, it is necessary to transfer the black and the grey box into the white box to introduce enhanced machines and services for patients, customers, and clients. Explainable Artificial Intelligence XAI is able to transfer the black and the grey box into the white box. XAI can learn, explain Why, When, and How to solve problems involving huge datasets through various classifiers. This enables manufacturing industries to create new advanced products that meet the current market needs.
