Análisis de eficiencia de la inteligencia artificial como factor de producción en países

C. Andara
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Abstract

Artificial intelligence is projected as a new factor of production to improve the competitiveness of countries. This research analyzes the technical efficiency of the application of Artificial Intelligence (AI) as a production factor in companies located in Europe, North America, Asia and Latin America aimed at increasing their competitiveness. Research data on the impact of AI in the world economies, figures on startups, the global index of innovation and investments in AI are taken. Through Data Envelopment Analysis (DEA) the technical efficiency is measured. The analysis was structured in three clusters: by countries with and without China, and by regions with companies with investments in AI. The analysis by countries showed that Holland, Sweden, Chile, and Colombia are more efficient, while the USA, Japan, and Brazil are less efficient. With respect to the second analysis, China and Latin America stand out as efficient. For the latter case, Europe and Latin America proved efficient. It is observed that the growth in the global index of innovation, as well as the creation of economic policies in countries for the development of this technology, are keys to predicted economic growth.
人工智能作为国家生产要素的效率分析
人工智能被预测为提高国家竞争力的新生产要素。本研究分析了位于欧洲、北美、亚洲和拉丁美洲的公司将人工智能(AI)作为生产要素的技术效率,旨在提高其竞争力。研究数据包括人工智能对世界经济的影响、初创企业的数据、全球创新指数和人工智能投资。通过数据包络分析(DEA)对技术效率进行了测度。该分析分为三个集群:有中国和没有中国的国家,以及有公司投资人工智能的地区。各国的分析显示,荷兰、瑞典、智利和哥伦比亚的效率更高,而美国、日本和巴西的效率较低。就第二种分析而言,中国和拉丁美洲在效率方面表现突出。对于后一种情况,欧洲和拉丁美洲证明是有效的。报告指出,全球创新指数的增长,以及各国为发展这项技术而制定的经济政策,是预测经济增长的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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