生成式人工智能的全球应用:什么最重要?

Hassnian Ali , Atta ul Mustafa , Ahmet Faruk Aysan
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引用次数: 0

摘要

本研究调查了136个国家采用生成式人工智能的决定因素,利用2023年的横截面数据,并采用负二项回归模型来解决数据过度分散问题。生成式人工智能是一种变革性技术,可以提高运营效率,推动创新,并在各个领域创造经济价值。主要研究结果显示,IT基础设施、研发投资和公司对新兴技术的投资显著促进了生成式人工智能的采用,而不一致的政府政策可能会阻碍它。该分析确定了关键的决定因素,包括技术基础设施、经济稳定性、监管环境和劳动力准备程度,这些因素对采用率至关重要。该研究为政策制定者、行业领导者和研究人员提供了可操作的见解,倡导制定量身定制的政策,对高速互联网和云服务进行战略投资,并完善政府激励措施,以符合人工智能行业的需求。这项研究的独特之处是提供了一个全面的、跨国的视角来研究影响生成式人工智能采用的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global adoption of generative AI: What matters most?
This study investigates the determinants of generative AI adoption across 136 countries, leveraging cross-sectional data from 2023 and employing a negative binomial regression model to address data overdispersion. Generative AI is a transformative technology that enhances operational efficiency, drives innovation, and creates economic value across sectors. Key findings reveal that IT infrastructure, R&D investments, and company investment in emerging technologies significantly foster generative AI adoption, while misaligned government policies may hinder it. The analysis identifies crucial determinants, including technological infrastructure, economic stability, regulatory environments, and workforce readiness, as pivotal to adoption rates. The study provides actionable insights for policymakers, industry leaders, and researchers, advocating for tailored policies, strategic investment in high-speed internet and cloud services, and refining government incentives to align with AI sector needs. This research uniquely contributes by offering a comprehensive, cross-country perspective on factors influencing generative AI adoption.
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