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 |
| Published: |
China InfoCom Media Group
2025-01-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails?columnId=109252966&Fpath=home&index=0 |
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| Summary: | 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. |
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| ISSN: | 2096-0271 |