探索人工智能在政府中的实证模型:将社会技术系统的观点投入使用

A. Arslan
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引用次数: 0

摘要

本研究通过讨论其在政府中的作用,重点讨论了社会和技术系统(STS)的发展和治理方面,探讨了全球人工智能动态的演变。本文件报告了三个研究问题,包括分析的程度:(1)关于公共部门人工智能概念的理论;(2)对公共部门人工智能发展的期望;(3)人工智能在公共部门的挑战和机遇。本实验研究为衡量人工智能政策规模的综合方法提供了一个实验框架,该框架允许评估不同国家不同治理实践和政策优先事项的方法。该研究揭示了有可能实施人工智能计划和战略的政策领域;对人工智能应用程序和策略开放的行政功能;以及社区管理者在确定公共部门的人工智能政策和项目时可能面临的挑战/风险,包括如何应对网络部队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN EMPIRICAL MODEL FOR EXPLORING AI IN GOVERNMENT: PUTTING SOCIO-TECHNOLOGICAL SYSTEMS PERSPECTIVES INTO USE
This study explores the evolution of global AI dynamics by discussing its role in government with a focus on aspects of development and governance of social and technological systems (STS). This document reports three research questions, including the extent of the analysis: (1) theories regarding the concept of AI in the public sector; (2) expectations regarding the development of AI in the public sector; and, (3) the challenges and opportunities of AI in the public sector. This experimental study provides an experimental framework for a comprehensive approach to measuring the magnitude of AI policy that allows for the methods of evaluating different governance practices and policy priorities in different countries. The study sheds light onto areas of policy that have the potential to implement AI programs and strategies; administrative functions open to the acceptance of AI applications and strategies; and the challenges / risks that community managers may face in defining AI policies and projects in the public sector including how to deal with cyber-troops.
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