The eXplainable Artificial Intelligence(XAI)is closely related to the issues of trustworthiness and robustness that are currently the focus of research and application in Artificial Intelligence(AI).This paper makes a comprehensive survey of the main development trends in the field of XAI.Firstly this paper introduces the concept and implementation approach of XAI,summarizes the XAI's latest developments,and then analyzes its further development directions.This survey shows that the interpretation research of current popular Generative Artificial Intelligence(GAI)models has become an important research hotspot in the field of XAI;research on the interpretation of traditional AI models mainly focuses on developing interpretability techniques for multi perspective fusion and enhancing the interpretability of unsupervised learning frameworks;in addition,the construction of open-source communities for XAI is accelerating,and open-source tools that help open the black-box of models are constantly being enriched.This survey believes that breaking through the interpretability bottleneck at the micro neuron's behavior,as well as constructing a Mind-System that combines internal knowledge and external environmental interaction,have become important development trends for XAI in the future.
关键词
可解释人工智能/深度学习/生成式人工智能/大语言模型/黑盒模型/无监督学习/开源
Key words
eXplainable Artificial Intelligence/Deep Learning/Generative Artificial Intelligence/Large Language Model/Black-box Model/Unsupervised Learning/Open-source
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