Air Handling Unit Explainability using Contextual Importance and Utility

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Artificial intelligence has acted as an essential driver of emerg-
ing technologies by employing many sophisticated Machine Learning
(ML) models, while lack of model transparency and results explanation
limits its effectiveness in real decision-making. The eXplainable AI (XAI)
has bridged this gap by providing the explanation of outcomes made by
these complex ML model. In this paper, we classify the functioning of
an air handling unit (AHU) using the neural network and utilise con-
textual importance and contextual utility (CIU) as an XAI module for
explaining outcome of the neural Network. Here, we prove that CIU
(XAI module) can generate transparent and human-understandable ex-
planations, which the end-user can therefore utilize for making decisions
proving the overall applicability of the method in a novel use-case. Vi-
sual and textual explanations for the causes of an individual prediction
have been derived from the CIU that are numeric values calculated from
the machine learning module results. We also have provided contrasting
explanations against some causes that were not involved in the decision.
We provide both in our proposed approach.
Original languageEnglish
Title of host publicationMobile and Ubiquitous Systems: Computing, Networking and Services
Subtitle of host publication18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings
EditorsTakahiro Hara, Hirozumi Yamaguchi
Pages513-519
Number of pages7
Edition1
ISBN (Electronic)978-3-030-94822-1
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services - Beppu, Japan
Duration: 8 Nov 202111 Nov 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
Volume419
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceInternational Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
Abbreviated titleMOBIQUITOUS
Country/TerritoryJapan
CityBeppu
Period08/11/202111/11/2021

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