IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems

Mohammad Choaib, Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Adeel Ahmad

2025

Abstract

The rapid evolution of Industry 4.0 has introduced transformative technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and big data, facilitating real-time data collection, processing, and decision-making. At the heart of this revolution lies Cyber-Physical Systems (CPS), which integrate computational algorithms with physical components to create intelligent, resilient, and adaptive systems. However, CPS deployment remains complex due to the need for extensive domain expertise. This paper introduces IoT-AID, a novel Explainable AI (XAI)-driven Cyber-Physical Recommendation System (CPRS) that enhances transparency, trust, and efficiency in CPS design. IoT-AID integrates traditional machine learning models, deep learning architectures, and fine-tuned transformer-based models with XAI techniques to automate and improve CPS configuration. Our approach ensures that AI-driven recommendations are interpretable, thereby increasing adoption across industries.

Paper Citation

in Harvard Style

Choaib M., Garouani M., Bouneffa M. and Ahmad A. (2025). IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 671-679. DOI: 10.5220/0013497100003929

in Bibtex Style

@conference{iceis25,
author={Mohammad Choaib and Moncef Garouani and Mourad Bouneffa and Adeel Ahmad},
title={IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={671-679},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013497100003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems
SN - 978-989-758-749-8
AU - Choaib M.
AU - Garouani M.
AU - Bouneffa M.
AU - Ahmad A.
PY - 2025
SP - 671
EP - 679
DO - 10.5220/0013497100003929
PB - SciTePress