User centric explanations: A breakthrough for explainable models

Ali Hassan, Mansoor Abdullateef Abdulgabber Abdulhak, Riza Bin Sulaiman, Hasan Kahtan

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad mewn cynhadleddadolygiad gan gymheiriaid

4 Dyfyniadau (Scopus)

Crynodeb

Thanks to recent developments in explainable Deep Learning models, researchers have shown that these models can be incredibly successful and provide encouraging results. However, a lack of model interpretability can hinder the efficient implementation of Deep Learning models in real-world applications. This has encouraged researchers to develop and design a large number of algorithms to support transparency. Although studies have raised awareness of the importance of explainable artificial intelligence, the question of how to solve the needs of real users to understand artificial intelligence remains unanswered. In this paper, we provide an overview of the current state of the research field at Human-Centered Machine Learning and new methods for user-centric explanations for deep learning models. Furthermore, we outline future directions for interpretable machine learning and discuss the challenges facing this research field, as well as the importance and motivation behind developing user-centric explanations for Deep Learning models.

Iaith wreiddiolSaesneg
Teitl2021 International Conference on Information Technology, ICIT 2021 - Proceedings
CyhoeddwrInstitute of Electrical and Electronics Engineers Inc.
Tudalennau702-707
Nifer y tudalennau6
ISBN (Electronig)9781665428705
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 26 Gorff 2021
Cyhoeddwyd yn allanolIe
Digwyddiad2021 International Conference on Information Technology, ICIT 2021 - Amman, Gwlad yr Iorddonen
Hyd: 14 Gorff 202115 Gorff 2021

Cyfres gyhoeddiadau

Enw2021 International Conference on Information Technology, ICIT 2021 - Proceedings

Cynhadledd

Cynhadledd2021 International Conference on Information Technology, ICIT 2021
Gwlad/TiriogaethGwlad yr Iorddonen
DinasAmman
Cyfnod14/07/2115/07/21

Dyfynnu hyn