大数据2025，Vol.11Issue(4)：102-125,24.DOI:10.11959/j.issn.2096-0271.2025049
XAI人机信任机制探索与实践
Exploration and practice of human-machine trustworthy mechanism in XAI
罗中岩 1夏正勋 2唐剑飞 2杨一帆 2杨洪山 2李昊骅 3张燕4
作者信息
- 1. 加州大学圣地亚哥分校,美国 圣迭戈市 CA 92093
- 2. 星环信息科技(上海)股份有限公司,上海 200233
- 3. 南京大学,江苏 南京 210009
- 4. 南京邮电大学,江苏 南京 210009
- 折叠
摘要
Abstract
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.关键词
人机信任/可解释AI/可信任AIKey words
human-computer trust/explainable AI/trustworthy AI分类
信息技术与安全科学引用本文复制引用
罗中岩,夏正勋,唐剑飞,杨一帆,杨洪山,李昊骅,张燕..XAI人机信任机制探索与实践[J].大数据,2025,11(4):102-125,24.
