國立虎尾科技大學 |

Facilitating Ethical Adoption of Artificial Intelligence Technologies in the Public Sector /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Facilitating Ethical Adoption of Artificial Intelligence Technologies in the Public Sector // Venkat Ramanathan Koshanam.
Author:	Koshanam, Venkat Ramanathan,
Description:	1 electronic resource (386 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:	Dissertations Abstracts International86-04B.
Subject:	Ethics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31563673
ISBN:	9798384471486

Facilitating Ethical Adoption of Artificial Intelligence Technologies in the Public Sector /
Koshanam, Venkat Ramanathan,

Facilitating Ethical Adoption of Artificial Intelligence Technologies in the Public Sector /Venkat Ramanathan Koshanam. - 1 electronic resource (386 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

Artificial Intelligence (AI) technologies offer transformative potential for enhancing public sector services, such as improved efficiency, decision-making, and service delivery. However, the public sector faces significant ethical challenges in AI adoption, including biases, discrimination, lack of transparency, and inequity. These challenges can erode public trust without robust ethical guardrails. This dissertation investigates the organizational factors that can facilitate the ethical adoption of AI in the public sector. This systematic literature review, covering publications from January 2019 to May 2024, utilizes the technology-organization-environment framework and foundational ethical AI principles as its theoretical basis. The findings, grounded in a theoretical model and evidence synthesized from scholarly research, provide a viable path for public sector organizations seeking ethical AI adoption. Incorporating feedback from three subject matter experts, the research highlights the need for a multifaceted approach to address ethical challenges in AI adoption. The research finds that AI design, policy, data governance, leadership, infrastructure, stakeholder engagement, and training facilitate ethical AI adoption in public sector organizations. Key recommendations for public sector management include implementing a comprehensive AI policy, robust data governance frameworks, privacy-enhancing technologies, ethical AI design, explainable AI, diversity and inclusion initiatives, ethical leadership, and continuous training to facilitate fair, transparent, and accountable AI applications. Although the research is focused on public sector organizations and acknowledges the rapidly evolving AI landscape, the findings offer a comprehensive strategy for ethical AI adoption, fostering public trust, and delivering equitable services.

English

ISBN: 9798384471486Subjects--Topical Terms:

555769
Ethics.
Subjects--Index Terms:

AI bias

Facilitating Ethical Adoption of Artificial Intelligence Technologies in the Public Sector /
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520 $a Artificial Intelligence (AI) technologies offer transformative potential for enhancing public sector services, such as improved efficiency, decision-making, and service delivery. However, the public sector faces significant ethical challenges in AI adoption, including biases, discrimination, lack of transparency, and inequity. These challenges can erode public trust without robust ethical guardrails. This dissertation investigates the organizational factors that can facilitate the ethical adoption of AI in the public sector. This systematic literature review, covering publications from January 2019 to May 2024, utilizes the technology-organization-environment framework and foundational ethical AI principles as its theoretical basis. The findings, grounded in a theoretical model and evidence synthesized from scholarly research, provide a viable path for public sector organizations seeking ethical AI adoption. Incorporating feedback from three subject matter experts, the research highlights the need for a multifaceted approach to address ethical challenges in AI adoption. The research finds that AI design, policy, data governance, leadership, infrastructure, stakeholder engagement, and training facilitate ethical AI adoption in public sector organizations. Key recommendations for public sector management include implementing a comprehensive AI policy, robust data governance frameworks, privacy-enhancing technologies, ethical AI design, explainable AI, diversity and inclusion initiatives, ethical leadership, and continuous training to facilitate fair, transparent, and accountable AI applications. Although the research is focused on public sector organizations and acknowledges the rapidly evolving AI landscape, the findings offer a comprehensive strategy for ethical AI adoption, fostering public trust, and delivering equitable services.
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