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
{"title":"Impact of Artificial Intelligence, Robotics, and Automation on Employment","authors":"Ravi Kumar, Vikky Kumar, C. Kumar","doi":"10.37896/ymer21.07/92","DOIUrl":null,"url":null,"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","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":"1115 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"YMER Digital","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37896/ymer21.07/92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信