人工智能对国际发展管理的影响

B. Lainjo
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摘要

人工智能(AI)已成为一个强大的工具,给全球各个领域,包括国际发展管理领域带来了革命性的变化。本研究旨在探索当前全球发展管理领域实施人工智能的情况,评估与采用人工智能相关的益处和挑战,并提出相关政策和实践建议。本研究采用混合研究设计,包括定性和定量方法,从二手资料中收集数据。本研究的定性部分借鉴了不同业务部门的案例研究,以探讨采用人工智能的影响。这些案例研究强调了人工智能如何有助于提高各行各业的绩效,以及对个人生活的潜在积极影响。研究的定量部分利用了世界银行开放数据、联合国开发计划署、国际货币基金组织(IMF)、经合组织统计和全球开放数据指数等知名数据库中的数据。通过整合定性和定量数据,可以全面了解人工智能在全球不同组织中的经济增长和发展情况。研究结果表明,在国际发展管理中采用人工智能对提高组织效率和个人福祉大有裨益。不过,研究也发现了与人工智能实施相关的各种挑战,如道德考量和潜在的工作岗位转移。为解决这些问题,研究提出了政策建议和最佳实践,以指导组织和决策者有效利用人工智能的变革潜力。本研究通过深入了解人工智能在当前背景下的重要性,为国际发展管理做出了贡献。本研究为采用人工智能的组织提供了见解,并协助决策者识别和解决相关挑战。通过完成这项研究,各组织和决策者可以积极主动地解决现有问题,并制定战略,最大限度地发挥人工智能的效益,同时最大限度地降低潜在风险。总之,本研究强调了人工智能在推动发展和改善生活方面的巨大潜力,为未来国际发展管理的进步奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The implications of Artificial Intelligence on international development management
Artificial Intelligence (AI) has emerged as a powerful tool revolutionizing various sectors globally, including international development management. This research aims to explore the current landscape of AI implementation in global development management, assess the benefits and challenges associated with its adoption, and propose relevant policies and practices. A mixed research design, comprising qualitative and quantitative methods, was utilized to gather data from secondary sources. The qualitative section of the study draws upon case studies from diverse operational sectors to examine the impact of AI adoption. These case studies highlight how AI contributes to improved performance in various industries and the potential positive effects on individuals’ lives. The quantitative part of the research utilizes data from renowned databases such as World Bank Open Data, United Nations Development Programme, International Monetary Fund (IMF), OECD Stat, and Global Open Data Index. Integrating qualitative and quantitative data allows for a comprehensive understanding of AI implementation’s economic growth and development across different organizations worldwide. The findings reveal that AI adoption in international development management holds significant promise for enhancing organizational efficiency and individuals’ well-being. However, the research also identifies various challenges associated with AI implementation, such as ethical considerations and potential job displacement. To address these issues, the study proposes policy recommendations and best practices that can guide organizations and policymakers in effectively harnessing the transformative potential of AI. This research contributes to international development management by providing a deep understanding of the importance of AI in the current context. The study offers insights for organizations adopting AI and assists policymakers in identifying and resolving pertinent challenges. By completing this study, organizations and policymakers can proactively address the existing problems and develop strategies to maximize the benefits of AI while minimizing potential risks. In summary, this research underscores the immense potential of AI in driving development and improving lives, laying a foundation for future advancements in international development management.
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