以印度服务业为例研究人工智能与机器学习技术之间的关系

Q2 Business, Management and Accounting
Mithun S. Ullal, Pushparaj M. Nayak, Ren Trevor Dais, C. Spulbar, Ramona Birau
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引用次数: 3

摘要

服务业的未来属于人工智能驱动的机器,这是印度就业市场的主要担忧来源。印度国内生产总值的50%以上是服务业,它是印度熟练劳动力的主要就业来源。这项研究基于逻辑、自然、身体和同情心等定性参数来衡量人工智能对印度服务业工作的影响;并发现机器和人类之间哪一方面更适合工作。人工智能接管的工作主要在任务级别,而不是工作级别,主要用于基本任务。替换从提供服务所涉及的基本任务开始,然后扩展到执行服务中涉及的所有任务。研究发现,在未来5-10年内,该服务的逻辑方面将慢慢减少,因为人工智能将执行所有与逻辑相关的任务,留下更多的情感任务,如同情人类。最后,即使是这些与情感相关的任务也将被人工智能接管,它为我们提供了一个非常有趣的人和机器的组合,在印度的场景中,仍然威胁着人类的就业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INVESTIGATING THE NEXUS BETWEEN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES IN THE CASE OF INDIAN SERVICES INDUSTRY
The future in the services industry belongs to Artificial Intelligence (AI) driven machines, which is a major source of worry for the job market in India. Over 50% of India’s GDP constitutes services, and it is a major source of employment for the skilled manpower of India. The research measures the impact of AI on service jobs in India based on qualitative parameters such as logical, natural, physical, and compassion; and finds which aspect serves the jobs better between machines and humans. The jobs taken over by AI are primarily at the task level more than the job level and for the basic tasks predominantly. The replacement starts with the basic tasks involved in providing service and then it grows to perform all the tasks involved in services. The research finds out that the logical aspects of the service will slowly reduce in the coming 5–10 years as AI will perform all the logic-related tasks leaving more emotional tasks such as compassion for humans. Finally, even these emotional-related tasks will be taken over by the AI which provides us with a very interesting combination of man and machine in the Indian scenario still threatening human employment.
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来源期刊
Business: Theory and Practice
Business: Theory and Practice Business, Management and Accounting-Strategy and Management
CiteScore
5.00
自引率
0.00%
发文量
35
审稿时长
8 weeks
期刊介绍: The journal "Business: Theory and Practice" is published from 2000. 1 vol (4 issues) per year are published. Articles in Lithuanian, English, German, Russian. The Journal has been included into database "ICONDA" and "Business Source Complete".
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