XAI Systems Evaluation: A Review of Human and Computer-Centred Methods
The lack of transparency of powerful Machine Learning systems paired with their growth in popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence (XAI) field. Instead of focusing solely on obtaining highly performing models, researchers also develop explanatio...
Main Authors: | Pedro Lopes, Eduardo Silva, Cristiana Braga, Tiago Oliveira, Luís Rosado |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/19/9423 |
Similar Items
-
C-XAI: A conceptual framework for designing XAI tools that support trust calibration
by: Mohammad Naiseh, et al.
Published: (2024-03-01) -
Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
by: Tiago Martins, et al.
Published: (2024-01-01) -
A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
by: Mir Riyanul Islam, et al.
Published: (2022-01-01) -
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
by: Tim Hulsen
Published: (2023-08-01) -
XSMILES: interactive visualization for molecules, SMILES and XAI attribution scores
by: Henry Heberle, et al.
Published: (2023-01-01)