reSHAPe: A Framework for Interactive Explanations in XAI Based on SHAP
Loading...
Fulltext URI
Document type
Text/Conference Paper
Additional Information
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
European Society for Socially Embedded Technologies (EUSSET)
Abstract
The interdisciplinary field of explainable artificial intelligence (XAI) aims to foster human understanding of black-box machine learning models through explanation-generating methods. In this paper, we describe the need for interactive explanation facilities for end-users in XAI. We believe that interactive explanation facilities that provide multiple layers of customizable explanations offer promising directions for empowering humans to practically understand model behavior and limitations. We outline a web-based UI framework for developing interactive explanation flows based on SHAP.
Description
Keywords
Citation
URI
Collections
Endorsement
Review
Supplemented By
Referenced By
Number of citations to item: 2
- Yulu Pi (2023): INFEATURE: An Interactive Feature-Based-Explanation Framework for Non-technical Users, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-35891-3_16
- Nilkanth Mukund Deshpande, Shilpa Gite, Biswajeet Pradhan, Mazen Ebraheem Assiri (2022): Explainable Artificial Intelligence–A New Step towards the Trust in Medical Diagnosis with AI Frameworks: A Review, In: Computer Modeling in Engineering & Sciences 3(133), doi:10.32604/cmes.2022.021225