3 books on AI for Human Resources Management [PDF]
November 09, 2025 | 24 |
These books describe the applications of AI in talent acquisition, employee engagement, performance management, HR analytics, resume screening, chatbot-based HR assistance and predictive workforce planning.
1. Revolutionizing HR: The AI-Powered Guide to Modern HR Practices
2025 by Priyanka Rastogi, Shalu Khandelwal, Romita Khurana, Himani Gupta, Priya Singh
It's a well-structured book about using AI in HRM with examples. HRM (unlike accounting or business analytics) is not an exact science, so AI tools have already become familiar helpers here. For example, HireVue and Paradox Olivia allow to automate data extraction from resumes, LinkedIn Talent Insights selects the best candidates for a vacancy, chatbots Mya and XOR automate interaction with candidates, schedule interviews. Enboarder helps new employees to onboard, get familiar with documentation and company security policies. Docebo recommends specific training programs based on employee data, 15Five analyzes performance and makes recommendations for improvement. Qaltrocs XM measures employee engagement using surveys, SAP SuccessFactors predicts the risks of employee dismissal and offers timely interventions. Workdat Adaptive Planning predicts the need to increase the workforce for seasonal businesses. Degreed - analyzes employee training results, finds gaps in their competencies, BENEFITfocus - analyzes employee salaries and offers a bonus plan. Office Vibe - analyzes employee feedback and provides recommendations for improving well-being in the team.
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2. The Adoption and Effect of Artificial Intelligence on Human Resources Management
2023 by Pallavi Tyagi, Naveen Chilamkurti, Simon Grima, Kiran Sood, Balamurugan Balusamy
This book consists of research papers on the use of AI for HRM with a large number of diagrams. Brief conclusions: the integration of AI with HR systems helps to analyze and predict the personal effectiveness of each employee and allows HR specialists to make more informed decisions. At the moment, the authors of the study see the greatest potential of AI in HR analytics, attendance recording, recruiting and payroll. AI also allows to automate the work of HR employees themselves, performing routine repetitive tasks such as entering data from resumes or searching for candidates by parameters. However, as the number of AI-driven processes grows, employees experience a deficit of human communication. The book tells how this affects social skills and emotional intelligence. In general, the book helps to understand the current level of knowledge about AI and ML among HR managers. The main goal of the book is to encourage more HR professionals to actively master AI. There have been many incredible achievements in the field of AI recently and perhaps as AI is further integrated into HR technologies, there will be a lot of noise from marketers. The book will help filter out this noise - to highlight what is really useful.
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3. Artificial Intelligence and International HRM: Challenges, Opportunities and a Research Agenda
2023 by Ashish Malik, Pawan S. Budhwar
Of all the articles in this book, I was most interested in the materials on the use of AI for employee performance evaluation and appropriate salary/bonus determination. The authors' analysis shows that automation in payroll systems not only makes the work of HR and accounting specialists easier, but also increases the feeling of fairness among employees. This is due to the fact that AI can track (frequently changing) employee data, including personal data such as the presence of dependents, changes in marital status, change of residence. Moreover, AI can track the general situation in the labor market, define the gap between the availability and demand for employees obtained from public databases and thus help to determine the market-fair size of compensation and benefits. AI performance management tools also provide many opportunities for both employees and organizations. The book provides an example of an organization that uses the fuzzy multi-criteria decision-making method that ensures a fair assessment of employee's performance. Notably, this tool helps to identify employees who need additional improvements in some areas and also determines the scale of the necessary improvements.
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Revolutionizing HR: The AI-Powered Guide to Modern HR Practices
2025 by Priyanka Rastogi, Shalu Khandelwal, Romita Khurana, Himani Gupta, Priya Singh
It's a well-structured book about using AI in HRM with examples. HRM (unlike accounting or business analytics) is not an exact science, so AI tools have already become familiar helpers here. For example, HireVue and Paradox Olivia allow to automate data extraction from resumes, LinkedIn Talent Insights selects the best candidates for a vacancy, chatbots Mya and XOR automate interaction with candidates, schedule interviews. Enboarder helps new employees to onboard, get familiar with documentation and company security policies. Docebo recommends specific training programs based on employee data, 15Five analyzes performance and makes recommendations for improvement. Qaltrocs XM measures employee engagement using surveys, SAP SuccessFactors predicts the risks of employee dismissal and offers timely interventions. Workdat Adaptive Planning predicts the need to increase the workforce for seasonal businesses. Degreed - analyzes employee training results, finds gaps in their competencies, BENEFITfocus - analyzes employee salaries and offers a bonus plan. Office Vibe - analyzes employee feedback and provides recommendations for improving well-being in the team.
Download PDF
2. The Adoption and Effect of Artificial Intelligence on Human Resources Management
2023 by Pallavi Tyagi, Naveen Chilamkurti, Simon Grima, Kiran Sood, Balamurugan Balusamy
This book consists of research papers on the use of AI for HRM with a large number of diagrams. Brief conclusions: the integration of AI with HR systems helps to analyze and predict the personal effectiveness of each employee and allows HR specialists to make more informed decisions. At the moment, the authors of the study see the greatest potential of AI in HR analytics, attendance recording, recruiting and payroll. AI also allows to automate the work of HR employees themselves, performing routine repetitive tasks such as entering data from resumes or searching for candidates by parameters. However, as the number of AI-driven processes grows, employees experience a deficit of human communication. The book tells how this affects social skills and emotional intelligence. In general, the book helps to understand the current level of knowledge about AI and ML among HR managers. The main goal of the book is to encourage more HR professionals to actively master AI. There have been many incredible achievements in the field of AI recently and perhaps as AI is further integrated into HR technologies, there will be a lot of noise from marketers. The book will help filter out this noise - to highlight what is really useful.
Download PDF
3. Artificial Intelligence and International HRM: Challenges, Opportunities and a Research Agenda
2023 by Ashish Malik, Pawan S. Budhwar
Of all the articles in this book, I was most interested in the materials on the use of AI for employee performance evaluation and appropriate salary/bonus determination. The authors' analysis shows that automation in payroll systems not only makes the work of HR and accounting specialists easier, but also increases the feeling of fairness among employees. This is due to the fact that AI can track (frequently changing) employee data, including personal data such as the presence of dependents, changes in marital status, change of residence. Moreover, AI can track the general situation in the labor market, define the gap between the availability and demand for employees obtained from public databases and thus help to determine the market-fair size of compensation and benefits. AI performance management tools also provide many opportunities for both employees and organizations. The book provides an example of an organization that uses the fuzzy multi-criteria decision-making method that ensures a fair assessment of employee's performance. Notably, this tool helps to identify employees who need additional improvements in some areas and also determines the scale of the necessary improvements.
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
