Plug-and-Play XAI Integration Without Separate Library Setup
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Solution Overview
Problem
Existing XAI systems require separate implementation of individual techniques and libraries, leading to user inconvenience and limited functionality.
Innovation Solution
A plug-and-play (PnP) XAI system that automatically recognizes and configures machine learning models, applies XAI algorithms, and provides results without additional function calls, utilizing modules for model import, dataset configuration, user management, kernel management, and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate application of individual XAI techniques is implemented, then XAI functionality is provided, but user convenience deteriorates and system complexity increases
Solution Approach 1:
The system segments XAI functionality into independent, pluggable algorithm modules (e.g., LRP, GradCAM, IG sub-modules) that can be separately developed and maintained while being unified through a common manager interface, resolving the contradiction between providing diverse XAI functionality and maintaining ease of operation
Solution Approach 2:
The XAI library module is designed as a universal platform that can accommodate multiple different XAI algorithms through standardized interfaces and configuration files, allowing a single system to provide diverse XAI functionality without requiring separate application processes for each technique
2Adaptability or versatility
If separate application of individual XAI techniques is implemented, then XAI functionality is provided, but device complexity increases
Solution Approach 1:
The user manager module and kernel manager module serve as intermediary layers between the diverse XAI algorithms and the user interface, abstracting away the complexity of individual algorithm implementations while maintaining access to multiple XAI techniques through unified configuration and management mechanisms
3Adaptability or versatility
If separate implementation of XAI libraries is required, then XAI algorithms can be applied, but ease of operation deteriorates due to additional installation and implementation steps
Solution Approach 1:
Multiple XAI algorithm implementations and their supporting libraries are merged into a single integrated XAI library module that can be installed once, eliminating the need for separate installation and implementation of individual XAI libraries while maintaining the ability to apply various XAI algorithms through configuration
Data Source
AI summary
Provided are a plug-and-play explainable artificial intelligence (PnP XAI) system and a design method thereof. The PnP XAI system and the design method thereof, upon receiving a model configuration file from a user, configure a machine learning model using the received model configuration file, calculate an XAI algorithm of the configured machine learning model, and provide the calculated result.

