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Thesis

Artificial Intelligence in HR: Transforming Talent Management in 2025 Master of Science- Univ College Strategic| Human Resources

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This paper seeks to establish how artificial intelligence (AI) is changing Human Resource Management (HRM) practices and organizational performance. Theoretical and qualitative research is used in the paper to discuss the emergence and development of AI in the field of HR, its potential and threats, and recommendations for its practical application. The insights provided by the observations suggest that AI could bring significant changes in HR activities, improve various decisions, and contribute to creating a model for strategic staffing management. However, it also underlines the necessity of defining the ethical concerns, data management and changes management to implement IA. Thus, the paper aims to develop a framework that would enable organizations and HR to effectively adopt AI in a way aligned with the organization’s capabilities and readiness to support employees for the future workplace characterized by AI technologies.

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Artificial Intelligence in HR: Transforming Talent Management in 2025

Master of Science- Univ College

Strategic Human Resources




Ariana Wirekoon

University of Denver College

January 24th, 2025

Faculty: Audrey Sevalt, MSS

Director: Molly Smith, PhD

Dean: Michael J. McGuire, MLS

, Wirekoon 1


Abstract

This paper seeks to establish how artificial intelligence (AI) is changing Human

Resource Management (HRM) practices and organizational performance. Theoretical and

qualitative research is used in the paper to discuss the emergence and development of AI in the

field of HR, its potential and threats, and recommendations for its practical application. The

insights provided by the observations suggest that AI could bring significant changes in HR

activities, improve various decisions, and contribute to creating a model for strategic staffing

management. However, it also underlines the necessity of defining the ethical concerns, data

management and changes management to implement IA. Thus, the paper aims to develop a

framework that would enable organizations and HR to effectively adopt AI in a way aligned with

the organization’s capabilities and readiness to support employees for the future workplace

characterized by AI technologies.

, Wirekoon 2


Table of Content

Contents

Background......................................................................................................3
Background......................................................................................................3
Approach..........................................................................................................4
Approach..........................................................................................................4
Literature Review.............................................................................................5
Literature Review.............................................................................................5
Solution............................................................................................................8
Solution............................................................................................................8
Discussion......................................................................................................10
Discussion......................................................................................................10
Recommendations.........................................................................................11
Recommendations.........................................................................................11
Conclusion.....................................................................................................13
Conclusion.....................................................................................................13
References.....................................................................................................14
References.....................................................................................................14

Document information

Uploaded on
August 10, 2025
Number of pages
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Written in
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Type
Thesis
Supervisor(s)
Michael j. mcguire, mls
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