Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework

• Main Authors: LEE, Hui Shan, SHANKARARAMAN, Venky, OUH, Eng Lieh
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2023
• 主題: AI Explainability; ChatGPT; Government; LIME; SHAP; Singapore; Artificial Intelligence and Robotics; Asian Studies; Management Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8747; https://ink.library.smu.edu.sg/context/sis_research/article/9750/viewcontent/VisionPaper_BigData_2023_av.pdf

This paper explores ChatGPT’s potential in aiding government agencies, drawing from a case study based on a government agency in Singapore. While ChatGPT’s text generation abilities offer promise, it brings inherent challenges, including data opacity, potential misinformation, and occasional errors....