ConEX: A Context-Aware Framework for Enhancing Explanation Systems

Yasmeen Khaled; Nourhan Ehab

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

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

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.19.217.248

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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