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Information fusion-2-text: explainable aggregation via linguistic protoforms

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Version 2 2024-06-03, 12:33
Version 1 2020-06-25, 14:32
conference contribution
posted on 2024-06-03, 12:33 authored by BJ Murray, DT Anderson, TC Havens, Tim WilkinTim Wilkin, A Wilbik
Recent advancements and applications in artificial intelligence (AI) and machine learning (ML) have highlighted the need for explainable, interpretable, and actionable AI-ML. Most work is focused on explaining deep artificial neural networks, e.g., visual and image captioning. In recent work, we established a set of indices and processes for explainable AI (XAI) relative to information fusion. While informative, the result is information overload and domain expertise is required to understand the results. Herein, we explore the extraction of a reduced set of higher-level linguistic summaries to inform and improve communication with non-fusion experts. Our contribution is a proposed structure of a fusion summary and method to extract this information from a given set of indices. In order to demonstrate the usefulness of the proposed methodology, we provide a case study for using the fuzzy integral to combine a heterogeneous set of deep learners in remote sensing for object detection and land cover classification. This case study shows the potential of our approach to inform users about important trends and anomalies in the models, data and fusion results. This information is critical with respect to transparency, trustworthiness, and identifying limitations of fusion techniques, which may motivate future research and innovation.

History

Volume

1239

Pagination

114-127

Location

Lisbon, Portugal

Open access

  • Yes

Start date

2020-06-15

End date

2020-06-19

ISSN

1865-0929

eISSN

1865-0937

ISBN-13

9783030501525

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Lesot MJ, Vieira S, Reformat MZ, Carvalho JP, Wilbik A, Bouchon-Meunier B, Yager RR

Title of proceedings

IPMU 2020 : Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Event

Information Processing and Management of Uncertainty. International Conference (18th : 2020 : Lisbon, Portugal)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Information Processing and Management of Uncertainty International Conference