Impact of Artificial Intelligence, Robotics, and Automation on Employment

YMER Digital Pub Date : 2022-07-28 DOI:10.37896/ymer21.07/92
Ravi Kumar, Vikky Kumar, C. Kumar
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引用次数: 2

Abstract

Machine learning is the ability of machines to learn from past experiences using historical data (supervised and semisupervised cases) to solve a given problem. Machines make decisions using Artificial Intelligence (past experiences). Companies adequately understand that increasing business efficiency and employee productivity are of supreme importance to thriving in a highly competitive digital environment. Any process can be automated as long as there is a clear operating procedure available. In today’s time, almost every sector is automating things to minimise cost and improve reliability. So, we need something that will resolve this. In this paper, we will study the many good and bad impacts of artificial intelligence, robotics, and automation on employment. We will also discuss some ideas to minimise the bad impact and maximise the good impact in the related fields
人工智能、机器人技术和自动化对就业的影响
机器学习是机器使用历史数据(监督和半监督案例)从过去的经验中学习以解决给定问题的能力。机器利用人工智能(过去的经验)做出决策。公司充分理解提高业务效率和员工生产力对于在竞争激烈的数字环境中蓬勃发展至关重要。只要有明确的操作程序,任何过程都可以自动化。如今,几乎每个行业都在实现自动化,以最大限度地降低成本,提高可靠性。所以,我们需要解决这个问题。在本文中,我们将研究人工智能、机器人和自动化对就业的许多好的和坏的影响。我们还将讨论一些在相关领域最小化坏影响和最大化好影响的想法
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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