ConEX: A Context-Aware Framework for Enhancing Explanation Systems

Yasmeen Khaled; Nourhan Ehab

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Paper

ConEX: A Context-Aware Framework for Enhancing Explanation Systems

Topics: Explainable Artificial Intelligence; Intelligent User Interfaces; Interpretable Artificial Intelligence; Knowledge-Based Systems

In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 699-706, 2024 , Rome, Italy

Authors: Yasmeen Khaled and Nourhan Ehab

Affiliation: German University in Cairo, Cairo, Egypt

Keyword(s): Context, Context-Sensitive Explainability, User-Centered Explainability.

Abstract: Recent advances in Artificial Intelligence (AI) have led to the widespread adoption of intricate AI models, raising concerns about their opaque decision-making. Explainable AI (XAI) is crucial for improving transparency and trust. However, current XAI approaches often prioritize AI experts, neglecting broader stakeholder requirements. This paper introduces a comprehensive context taxonomy and ConEX, an adaptable framework for context-sensitive explanations. ConEX includes explicit problem-solving knowledge and contextual insights, allowing tailored explanations for specific contexts. We apply the framework to personalize movie recommendations by aligning explanations with user profiles. Additionally, we present an empirical user study highlighting diverse preferences for contextualization depth in explanations, highlighting the importance of catering to these preferences to foster trust and satisfaction in AI systems.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Khaled, Y. and Ehab, N. (2024). ConEX: A Context-Aware Framework for Enhancing Explanation Systems. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 699-706. DOI: 10.5220/0012385300003636

@conference{icaart24,
author={Yasmeen Khaled. and Nourhan Ehab.},
title={ConEX: A Context-Aware Framework for Enhancing Explanation Systems},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={699-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012385300003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - ConEX: A Context-Aware Framework for Enhancing Explanation Systems
SN - 978-989-758-680-4
IS - 2184-433X
AU - Khaled, Y.
AU - Ehab, N.
PY - 2024
SP - 699
EP - 706
DO - 10.5220/0012385300003636
PB - SciTePress