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Nicodeme, C. (2020) Build Confidence and Acceptance of AI-Based Decision Support Systems—Explainable and Liable AI. 2020 13th International Conference on Human System Interaction (HSI), Tokyo, 6-8 June 2020, 20-23.
https://doi.org/10.1109/HSI49210.2020.9142668

has been cited by the following article:

• TITLE: Letters and Visits System Optimization and Implementation

  AUTHORS: Mu Tao, Xi Chen, Dan Qian

  KEYWORDS: Letters and Visits, Informatization, System Integration

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.17 No.9, September 12, 2024

  ABSTRACT: The letters and visits system plays a vital role in government work, serving as a crucial tool for supervising law enforcement and administrative conduct, ensuring public officials’ integrity, and promoting governance by law. As Chinese citizens’ political awareness grows, the volume of letters and visits has increased steadily. This paper reviews the current state of letters and visits information construction, identifies challenges and problems in system integration, presents integration ideas for existing systems, and proposes an innovative approach to letters and visits system integration. This research aims to provide valuable insights and guidance for other units undertaking similar system integration efforts.