| Autor: |
Zhengxun XIA, Jianfei TANG, Yifan YANG, Shengmei LUO, Yan ZHANG, Fenglei TAN, Shengru TAN |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
大数据, Vol 10, Pp 86-109 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2096-0271 |
| DOI: |
10.11959/j.issn.2096-0271.2024013 |
| Popis: |
XAI(explainable AI) is an important component of trusted AI.In-depth research on the technology points of XAI has been carried out in the current industry, but systematic research on engineering implementation is lacking.This paper proposed a general XAI technical architecture, which started from the follow four aspects: atomic interpretation generation, core competence enhancement, business component embedding and trusted interpretation application.We designed four levels:XAI foundation layer, XAI core competence layer, XAI business component layer and XAI application layer.Through the division of labor and cooperation among the technical layers, the implementation of XAI engineering was guaranteed throughout the whole process.Based on the XAI architecture presented in this paper, new technical modules can be introduced flexibly to support the industrialization application of XAI, providing certain reference for the promotion of XAI in the industry. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
