Exploration and practice of human-machine trustworthy mechanism in XAI
Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. This paper addresses the trust issues in AI by proposing a general U-XAI (unified-trustw...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2025-07-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025049/ |
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| _version_ | 1849472505014648832 |
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| author | LUO Zhongyan XIA Zhengxun TANG Jianfei YANG Yifan YANG Hongshan LI Haohua ZHANG Yan |
| author_facet | LUO Zhongyan XIA Zhengxun TANG Jianfei YANG Yifan YANG Hongshan LI Haohua ZHANG Yan |
| author_sort | LUO Zhongyan |
| collection | DOAJ |
| description | Artificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. This paper addresses the trust issues in AI by proposing a general U-XAI (unified-trustworthy XAI) human-computer trust mechanism and technical framework, aiming to solve the eight types of trust challenges brought by the "social-technical gap" in the AI field. The framework includes four modules: trust chain governance, integrity governance, understandability governance, and acceptability governance. Combining theoretical models and technical practices, it provides a comprehensive solution for building trustworthy AI. Through the U-XAI framework proposed in this paper, the credibility of AI systems can be effectively enhanced, promoting their application and development in various social fields, and providing a practical basis and reference for the trustworthy governance of AI. |
| format | Article |
| id | doaj-art-d987b862f833452c9338c8bd9a57de08 |
| institution | Kabale University |
| issn | 2096-0271 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 大数据 |
| spelling | doaj-art-d987b862f833452c9338c8bd9a57de082025-08-20T03:24:30ZzhoChina InfoCom Media Group大数据2096-02712025-07-0111102125109252966Exploration and practice of human-machine trustworthy mechanism in XAILUO ZhongyanXIA ZhengxunTANG JianfeiYANG YifanYANG HongshanLI HaohuaZHANG YanArtificial Intelligence (AI) has made significant progress in various industries, but the black-box issue, potential risks, and the resulting user trust crisis have limited its further promotion and application. This paper addresses the trust issues in AI by proposing a general U-XAI (unified-trustworthy XAI) human-computer trust mechanism and technical framework, aiming to solve the eight types of trust challenges brought by the "social-technical gap" in the AI field. The framework includes four modules: trust chain governance, integrity governance, understandability governance, and acceptability governance. Combining theoretical models and technical practices, it provides a comprehensive solution for building trustworthy AI. Through the U-XAI framework proposed in this paper, the credibility of AI systems can be effectively enhanced, promoting their application and development in various social fields, and providing a practical basis and reference for the trustworthy governance of AI.http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025049/explainable AItrustworthy AI |
| spellingShingle | LUO Zhongyan XIA Zhengxun TANG Jianfei YANG Yifan YANG Hongshan LI Haohua ZHANG Yan Exploration and practice of human-machine trustworthy mechanism in XAI 大数据 explainable AI trustworthy AI |
| title | Exploration and practice of human-machine trustworthy mechanism in XAI |
| title_full | Exploration and practice of human-machine trustworthy mechanism in XAI |
| title_fullStr | Exploration and practice of human-machine trustworthy mechanism in XAI |
| title_full_unstemmed | Exploration and practice of human-machine trustworthy mechanism in XAI |
| title_short | Exploration and practice of human-machine trustworthy mechanism in XAI |
| title_sort | exploration and practice of human machine trustworthy mechanism in xai |
| topic | explainable AI trustworthy AI |
| url | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025049/ |
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