ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
A Review on Human-AI Collaboration: Navigating Challenges and HRM Strategies for Team Integration
Authors
Aiswarya.S , Dr.M.Vijayakumar
Keywords
Artificial Intelligence, HRM Strategies, Human-Robot Challenges
Abstract
The relationship between artificial intelligence (AI) systems and human team members is becoming more and more important to comprehend and successfully manage as AI continues to enter many industries. The goal of this conceptual study is to explore viable Human Resource Management (HRM) techniques for promoting effective cooperation by exploring the intricacies of integrating AI with human teams and identifying difficulties. Utilizing multidisciplinary viewpoints from the fields of AI ethics, psychology, and organizational behavior, this study investigates the distinct obstacles brought about by AI-human interaction inside teams, encompassing concerns related to trust, communication, and clear roles. Furthermore, it delves into how HRM may support productive teamwork by emphasizing tactics like inclusive team structures, transparent communication routes, and training and development. This study adds to the continuing conversation on maximizing AI-human collaboration for improved organizational performance and worker well-being by synthesising the body of existing research and providing useful insights.
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How To Cite
"A Review on Human-AI Collaboration: Navigating Challenges and HRM Strategies for Team Integration", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.9, Issue 6, page no.384 - 389, June-2024, Available :https://ijrti.org/papers/IJRTI2406054.pdf
Issue
Volume 9 Issue 6,
June-2024
Pages : 384 - 389
Other Publication Details
Paper Reg. ID: IJRTI_190037
Published Paper Id: IJRTI2406054
Downloads: 205,616
Research Area: Management
Country: Tiruchengode, Tamil Nadu, India
Published Paper PDF: https://ijrti.org/papers/IJRTI2406054
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI2406054
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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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