拉丁美洲的人工智能公共政策:颠覆还是延续?

R. Zambrano, J. M. Sánchez-Torres
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引用次数: 3

摘要

人工智能(AI)的复苏在全球60多个国家引发了新的公共政策制定浪潮。考虑到拉丁美洲和加勒比地区明显的不平等和早期的去工业化,人工智能可以提供新的机会,如果在战略上加以利用,并实现长期目标。基于以文献回顾为中心的批判性和描述性研究,本文从公共政策的角度审视人工智能公共政策的发展。首先,制定了一个分析框架,包括人工智能政策投入(如数据、基础设施、人力和机构),以及针对社会经济、政治、技术和治理的人工智能政策产出。然后,在审查现有文献和政策文件后,在全球范围内确定了三种类型的人工智能政策。然后使用框架和策略类型学来研究该地区的人工智能策略。虽然该地区确定了不同的发展和成熟水平,但国家人工智能政策回避破坏当前背景,并讨论与数据和技术主权相关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Public Policies in Latin America: Disruption or more of the same?
Artificial Intelligence (AI) resurgence has triggered a new wave of public policy development in over 60 countries worldwide. Given glaring inequalities and early deindustrialization in Latin America and the Caribbean, AI can provide new opportunities to change course if harnessed strategically with long-term goals on the horizon. Based on critical and descriptive research centered on document review, this paper examines AI public policy development from a public policy perspective. First, an analytical framework comprising AI policy inputs such as data, infrastructure, and human and institutional, and AI policy outputs targeting socio-economic, political, technical and governance is developed. Then, after reviewing existing literature and policy documents, three types of AI policies are identified globally. The framework and policy typology are then used to study AI policies in the region. While different development and maturity levels are identified in the region, national AI policies shy away from disrupting the current context and discussing issues related to data and technology sovereignty.
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