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

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

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....

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Bibliographic Details
Main Authors: LEE, Hui Shan, SHANKARARAMAN, Venky, OUH, Eng Lieh
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
AI Explainability
ChatGPT
Government
LIME
SHAP
Singapore
Artificial Intelligence and Robotics
Asian Studies
Management Information Systems
Online Access: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
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Institution: Singapore Management University
Language: English

Internet

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

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