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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Main Authors: LEE, Hui Shan, SHANKARARAMAN, Venky, OUH, Eng Lieh
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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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
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spelling sg-smu-ink.sis_research-97502024-05-03T07:16:03Z Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework LEE, Hui Shan SHANKARARAMAN, Venky, OUH, Eng Lieh 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. These issues are especially critical in government decision-making.Public administration’s core values of transparency and accountability magnify these concerns. Ensuring AI alignment with these principles is imperative, given the potential repercussions on policy outcomes and citizen trust.AI explainability plays a central role in ChatGPT’s adoption within government agencies. To address these concerns, we propose strategies like prompt engineering, data governance, and the adoption of interpretability tools such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). These tools aid in understanding and enhancing ChatGPT’s decision-making processes.This paper underscores the urgency for government agencies to adopt a proactive stance by proposing a 4-Steps framework completed with potential measures to enhance ChatGPT’s explainability within the specific context of public administration. Collaborative efforts between AI practitioners and public administrators are essential for striking an equilibrium between the capabilities of ChatGPT and the unique demands of government operations, ultimately ensuring a responsible integration of ChatGPT into public administration processes. 2023-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8747 info:doi/10.1109/BigData59044.2023.10386797 https://ink.library.smu.edu.sg/context/sis_research/article/9750/viewcontent/VisionPaper_BigData_2023_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University AI Explainability ChatGPT Government LIME SHAP Singapore Artificial Intelligence and Robotics Asian Studies Management Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic AI Explainability
ChatGPT
Government
LIME
SHAP
Singapore
Artificial Intelligence and Robotics
Asian Studies
Management Information Systems
spellingShingle AI Explainability
ChatGPT
Government
LIME
SHAP
Singapore
Artificial Intelligence and Robotics
Asian Studies
Management Information Systems
LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
description 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. These issues are especially critical in government decision-making.Public administration’s core values of transparency and accountability magnify these concerns. Ensuring AI alignment with these principles is imperative, given the potential repercussions on policy outcomes and citizen trust.AI explainability plays a central role in ChatGPT’s adoption within government agencies. To address these concerns, we propose strategies like prompt engineering, data governance, and the adoption of interpretability tools such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). These tools aid in understanding and enhancing ChatGPT’s decision-making processes.This paper underscores the urgency for government agencies to adopt a proactive stance by proposing a 4-Steps framework completed with potential measures to enhance ChatGPT’s explainability within the specific context of public administration. Collaborative efforts between AI practitioners and public administrators are essential for striking an equilibrium between the capabilities of ChatGPT and the unique demands of government operations, ultimately ensuring a responsible integration of ChatGPT into public administration processes.
format text
author LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
author_facet LEE, Hui Shan
SHANKARARAMAN, Venky,
OUH, Eng Lieh
author_sort LEE, Hui Shan
title Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
title_short Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
title_full Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
title_fullStr Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
title_full_unstemmed Vision Paper: Advancing of AI explainability for the use of ChatGPT in government agencies: Proposal of a 4-step framework
title_sort vision paper: advancing of ai explainability for the use of chatgpt in government agencies: proposal of a 4-step framework
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url 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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