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Authors: Lufan Zhang and Paul Scifleet

Affiliation: Swinburne University of Technology, Melbourne, Victoria, Australia

Keyword(s): Enterprise Information Management, Explainable AI, AI Transparency.

Abstract: Today’s data-intensive environment poses significant challenges for enterprises in managing their vital information assets that often exceed manual capabilities. Despite a promising potential to assist, there’s mistrust and misunderstanding of the values AI presents to Enterprise Information Management. This paper investigates the current state of AI-led changes to EIM practices and proposes an approach to improve understanding of AI’s transformative role and impact on EIM. By charting AI use in EIM platforms across five areas - AI development, AI techniques, AI-integrated EIM capabilities, AI applications, and AI impacts – along with practice-based criteria for evaluating AI-integrated EIM solutions, this paper lays the foundation for explainable and transparent AI in EIM.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Zhang, L. and Scifleet, P. (2024). Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS; ISBN 978-989-758-716-0; ISSN 2184-3228, SciTePress, pages 60-73. DOI: 10.5220/0012951100003838

@conference{kmis24,
author={Lufan Zhang and Paul Scifleet},
title={Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS},
year={2024},
pages={60-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012951100003838},
isbn={978-989-758-716-0},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS
TI - Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice
SN - 978-989-758-716-0
IS - 2184-3228
AU - Zhang, L.
AU - Scifleet, P.
PY - 2024
SP - 60
EP - 73
DO - 10.5220/0012951100003838
PB - SciTePress