A case base of eXplainable Artificial Intelligence of the Things (XAIoT) systems

Citation Author(s):
Humberto
Parejas-Llanovarced
Universidad Complutense de Madrid
Jesús
Darias
Universidad Complutense de Madrid
Marta
Caro-Martinez
Universidad Complutense de Madrid
Juan A.
Recio-Garcia
Universidad Complutense de Madrid
Submitted by:
Juan Recio-Garcia
Last updated:
Fri, 06/21/2024 - 14:04
DOI:
10.21227/4nb2-q910
Data Format:
License:
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Abstract 

The increasing complexity of intelligent systems in the Internet of Things (IoT) domain makes it essential to explain their behavior and decision-making processes to users. However, selecting an appropriate explanation method for a particular intelligent system in this domain can be challenging, given the diverse range of available XAI (eXplainable Artificial Intelligence) methods and the heterogeneity of IoT applications. This dataset is a case base elicited from an exhaustive literature review on existing explanation solutions of AIoT (Artificial Intelligence of the Things) systems.

Funding Agency: 
MCIN/AEI/10.13039/501100011033
Grant Number: 
CHIST-ERA-19-XAI-008, PCI2020-120720-2

Comments

Need a daaset to learn to use explainable ai

Submitted by a a on Tue, 05/30/2023 - 04:26