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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.

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

About Publisher

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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Publisher: IJRTI (JW Publication)

Licence

© 2024 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.
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