ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT

 

Introduction 

Artificial Intelligence (AI) in Human Resource Management (HRM) involves using technology and computer systems to perform HR-related tasks more effectively and accurately. AI helps organizations automate routine jobs, analyze employee data, make better decisions, and improve overall workforce management. 

Today, many organizations are embracing AI to streamline recruitment, employee training, performance evaluations, payroll processing, and employee engagement. AI tools like chatbots, data analytics systems, and machine learning applications assist HR professionals in saving time, reducing errors, and boosting productivity. 

AI has changed traditional HR practices, making them more strategic and technology driven. It enables companies to identify talented employees, forecast workforce trends, and provide personalized employee experiences. As technology continues to progress, AI is becoming a crucial part of modern Human Resource Management in organizations worldwide. 

 

AI in Human Resource Management (HRM) 

Artificial Intelligence (AI) in Human Resource Management involves using smart technologies and computer systems to enhance HR activities like recruitment, training, employee engagement, performance evaluation, and decision-making. 

 

Main Areas Where AI is Used in HRM 

1. Recruitment & Selection 

   - AI helps screen resumes quickly. 

   - It identifies suitable candidates based on skills and experience. 

   - Chatbots can answer candidate questions and schedule interviews. 

   Example: Companies use AI software to automatically shortlist applicants. 

 

2. Employee Training & Development 

   - AI recommends personalized training programs. 

   - Online learning platforms track employee progress and suggest courses. 

 

3. Performance Management 

   - AI analyzes employee performance data. 

   - It helps managers identify strengths, weaknesses, and productivity trends. 

 

4. Employee Engagement 

   - AI tools gather employee feedback through surveys and chats. 

   - HR can assess employee satisfaction levels and workplace issues. 

 

5. Attendance & Workforce Management 

   - AI systems efficiently manage attendance, leave, and shift scheduling. 

 

6. Payroll & Administrative Tasks 

   - AI automates repetitive HR tasks like salary processing and document management. 

 

Connection Between HRM Theories and AI in HRM 

Artificial Intelligence (AI) in Human Resource Management (HRM) relates to various HRM theories because AI supports modern workforce management, employee motivation, decision-making, and organizational development. 

 

1. Scientific Management Theory – Frederick Taylor 

   Scientific Management Theory focuses on improving efficiency and productivity through systematic methods. 

   Connection with AI in HRM: 

   - AI automates repetitive HR tasks like payroll, attendance, and resume screening. 

   - It increases efficiency and saves time. 

   - AI helps organizations make quicker, data-driven decisions. 

   Example: AI recruitment software quickly selects suitable candidates from thousands of applications. 

 

2. Human Relations Theory – Elton Mayo 

   Human Relations Theory emphasizes employee satisfaction, motivation, and workplace relationships. 

   Connection with AI in HRM: 

   - AI tools gather employee feedback and measure satisfaction levels. 

   - Chatbots and engagement platforms improve communication between employees and HR. 

   - AI helps identify employee stress and workplace concerns. 

   Example: AI-based employee survey systems help companies understand employee needs. 

 

3. Maslow’s Hierarchy of Needs Theory 

   This theory explains that employees have different levels of needs, from basic needs to self-actualization. 

   Connection with AI in HRM: 

   - AI provides personalized training and career development opportunities. 

   - AI helps employees achieve career growth and recognition. 

   - Flexible AI systems support work-life balance. 

   Example: AI learning platforms recommend courses based on employee skills and career goals. 

 

4. McGregor’s Theory X and Theory Y 

   - Theory X assumes employees require strict supervision. 

   - Theory Y believes employees are self-motivated and responsible. 

   Connection with AI in HRM: 

   - AI monitoring systems support Theory X through performance tracking. 

   - AI development tools and flexible work systems support Theory Y by encouraging employee growth and independence. 

   Example: AI performance dashboards help managers evaluate employee productivity. 

 

5. Strategic HRM Theory 

   Strategic HRM focuses on aligning HR practices with organizational goals. 

   Connection with AI in HRM: 

   - AI helps HR departments make strategic decisions using workforce data and analytics. 

   - Predictive AI aids in workforce planning and talent management. 

   - AI enhances long-term organizational performance. 

 

Advantages of Using AI in Human Resource Management (HRM) 

1. Saves Time 

   AI automates routine HR tasks like resume screening, attendance tracking, payroll processing, and interview scheduling, allowing HR departments to save time. 

  

2. Improves Recruitment Process 

   AI can quickly evaluate thousands of applications and identify the best candidates based on qualifications, skills, and experience. 

  

3. Reduces Human Errors 

   Automated systems minimize mistakes in payroll calculations, employee records, and administrative tasks. 

 

4. Better Decision-Making 

   AI uses data analytics to help HR managers make accurate and strategic decisions regarding hiring, promotions, and workforce planning. 

 

5. Enhances Employee Experience 

   AI chatbots and digital HR platforms provide quick responses to employee inquiries and improve communication. 

 

6. Personalized Training & Development 

   AI recommends training programs based on employee performance and career goals, enhancing employee development. 

  

7. Increases Productivity 

   By decreasing manual work, HR staff can concentrate more on strategic activities like employee engagement and organizational development. 

 

8. Supports Workforce Planning 

   AI predicts future workforce needs and helps organizations prepare for talent shortages or organizational changes. 

 

Disadvantages of Using AI in Human Resource Management (HRM) 

1. High Implementation Cost 

   Introducing AI systems and technologies can be costly for organizations, particularly small businesses. 

  

2. Lack of Human Touch 

   AI cannot fully understand human emotions, feelings, or personal situations during HR decision-making. 

 

3. Risk of Bias 

   If AI systems are trained with biased data, they may produce unfair recruitment or promotion decisions. 

 

4. Data Privacy & Security Issues 

   AI systems collect large amounts of employee data, raising risks related to privacy breaches and cybersecurity. 

 

5. Employee Fear of Job Loss 

   Employees may worry that AI and automation could replace some HR or administrative jobs. 

 

6. Technical Problems 

   AI systems can encounter software errors, system failures, or inaccurate data analysis. 

 

7. Dependence on Technology 

   Organizations may become overly reliant on AI systems and reduce human involvement in critical decisions. 

 

8. Requires Skilled Employees 

   Organizations need trained professionals to manage, maintain, and operate AI technologies effectively. 

 

Real Examples of AI in Sri Lankan Companies 

 

Dialog Axiata 

Dialog uses Artificial Intelligence and analytics in various business operations, including automation, customer services, and digital platforms. The company also expanded AI-driven systems through its “AI Factory” program and AI-powered digital services. 

Connection to HRM: 

- AI-supported employee management systems 

- Automated HR workflows 

- Data-driven decision-making 

- Employee self-service platforms using AI 

Dialog partnered with MiHCM to introduce cloud-based HR solutions for businesses in Sri Lanka. 

 

Commercial Bank of Ceylon 

Commercial Bank launched Sri Lanka’s first AI-powered SME credit underwriting solution using machine learning and predictive analytics. 

Connection to HRM: 

- AI-based decision-making systems 

- Digital workforce transformation 

- Advanced analytics that support employee productivity and strategic management 

 

People’s Bank 

People’s Bank modernized its HR operations by digitizing HR management across hundreds of branches with automated HR platforms. 

HRM Benefits: 

- Faster employee record management 

- Automated HR processes 

- Improved employee experience 

- Better workforce coordination 

 

John Keells Holdings 

John Keells Retail Sector implemented an AI-powered WhatsApp recruitment assistant with XpressJobs to aid recruitment activities. 

Connection to HRM: 

- AI-assisted recruitment 

- Faster communication with job applicants 

- Improved candidate experience 

- Automated hiring support 

 

MiHCM 

MiHCM is a Sri Lankan HR technology company providing AI-powered HR and payroll systems for many organizations. Their AI assistant “MiA” supports employee self-service and HR automation. 

HRM Functions Supported by AI: 

- Attendance management 

- Payroll automation 

- Recruitment support 

- Employee engagement 

- HR analytics 

 References

1. Armstrong, M. (2020) Armstrong’s Handbook of Human Resource Management Practice. 15th edn. London: Kogan Page. 

2. Dessler, G. (2021) Human Resource Management. 16th edn. New York: Pearson. 

3. Stone, D.L., Deadrick, D.L., Lukaszewski, K.M. and Johnson, R. (2015) ‘The influence of technology on the future of human resource management’, Human Resource Management Review, 25(2), pp. 216–231. 

4. Upadhyay, A.K. and Khandelwal, K. (2018) ‘Applying artificial intelligence: implications for recruitment’, Strategic HR Review, 17(5), pp. 255–258. 

5. IBM Official Website (2026) ‘Artificial Intelligence in Human Resource Management’. Available at: https://www.ibm.com (Accessed: 17 May 2026). 

6. Dialog Axiata Official Website (2026) ‘Digital transformation and AI services. Available at: https://www.dialog.lk (Accessed: 17 May 2026). 

7. MiHCM Official Website (2026) ‘AI-powered HR and payroll solutions. Available at: https://mihcm.com (Accessed: 17 May 2026). 

8. Bibi, M., Jadoon, A.K. and Qureshi, M.A. (2024) ‘Artificial Intelligence and Human Resource Management: Opportunities and Challenges’, International Journal of Management Studies, 12(1), pp. 34–49. 

9. Unilever Official Website (2026) ‘AI in recruitment and talent management’. Available at: https://www.unilever.com (Accessed: 17 May 2026). 

10. Marler, J.H. and Boudreau, J.W. (2017) ‘An evidence-based review of HR Analytics’, International Journal of Human Resource Management, 28(1), pp. 3–26.