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Research Issues and Challenges in the Computational Development of Trustworthy AI

Authors:

Shahina Begum, Mobyen Uddin Ahmed, Shaibal Barua, Md Alamgir Kabir

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

IEEE International Conference on Artificial Intelligence in Engineering and Technology

Abstract

AI systems are increasingly finding their place across a wide spectrum of applications, ranging from healthcare to autonomous vehicles and industries. The development and deployment of such AI systems necessitate a steadfast commitment to reliability, safety, security, ethics, and social responsibility. In essence, these systems must be both dependable and capable of delivering enduring value. This paper introduces key research issues and challenges for trustworthy AI based on our experience working on several ongoing research projects at Mälardalen University (MDU), Sweden considering practical, real-world scenarios from mobility, transportation, and healthcare domains. Our observations have highlighted several critical technical components that underpin trustworthy AI. These encompass considerations such as fairness, safety, transparency, explainability, accountability, rigorous testing, verification, and a human-centric approach to AI. Notably, these elements align closely with the current state-of-the-art practices in the field.

Bibtex

@inproceedings{Begum6977,
author = {Shahina Begum and Mobyen Uddin Ahmed and Shaibal Barua and Md Alamgir Kabir },
title = {Research Issues and Challenges in the Computational Development of Trustworthy AI},
month = {August},
year = {2024},
booktitle = {IEEE International Conference on Artificial Intelligence in Engineering and Technology},
url = {http://www.es.mdu.se/publications/6977-}
}