8. HR and artificial intelligence – Exploring the impact of AI on HR functions and practices.

By incorporating intelligent technologies that improve decision-making, streamline processes, and produce more individualized employee experiences, artificial intelligence (AI) is transforming the field of human resource management. AI in HR has emerged as a major force behind change in hiring, training, performance reviews, and employee engagement as businesses use digital tools more and more to stay competitive (Roy, 2022). AI frees up HR professionals to concentrate on strategic, human-centered duties by automating tedious operations and analyzing massive amounts of data. HR departments must strike a balance between technological adoption and ethical governance since, despite AI's enormous potential for efficiency and justice, it also poses ethical concerns about data privacy, algorithmic bias, and transparency (Pandya, 2023).

Recruitment and talent acquisition

AI has transformed hiring by streamlining and automating talent acquisition procedures.

a. Resume screening - In a matter of seconds, AI-powered algorithms can assess thousands of applications to find applicants who best fit the job requirements. This minimizes human error and unconscious prejudice while speeding up the hiring process (Sanyaolu, 2022).

b. Candidate Sourcing - To find possible applicants, sophisticated AI systems search a variety of sources, including social media, professional networks, and online job boards. This guarantees a better fit between the role and candidate profiles and expands the talent pool (Sanyaolu, 2022).

c. Predictive Analytics for Candidate Selection - Artificial intelligence (AI) tools can analyze past recruiting data to find trends in top performers. The accuracy and consistency of hiring decisions are then increased by using predictive models to forecast candidate success.

Employee onboarding and training

By providing automation and customization, AI is revolutionizing employee development and onboarding.

a. Personalized Learning and Development - AI-powered learning platforms customize training courses to each worker's function, skill level, and preferred method of learning, guaranteeing effective and interesting professional development (Sithambaram, 2021).

b. Virtual Reality (VR) Training - AI-integrated VR training systems reduce risk and enhance skill retention by offering immersive learning environments to workers in industries like manufacturing, aviation, and healthcare that demand practical experience (Sithambaram, 2021).

c. Onboarding Automation - AI automates tedious administrative duties including document processing, IT access setup, and compliance verification. By streamlining the onboarding process, new personnel can more effectively and favorably integrate into the company (Sithambaram, 2021).

Employee engagement and performance management

By offering real-time insights into employee behavior, AI technologies improve engagement and performance.

a. Sentiment Analysis - HR may proactively address workplace unhappiness and morale concerns by using AI tools to analyze employee feedback, emails, and survey data to identify sentiment trends.

b. Performance Insights - AI uses data analytics to assess employee performance measures, including productivity, attendance, and goal attainment, assisting managers in making evidence-based choices and promoting professional growth.

c. Real-Time Feedback - AI-based feedback systems provide instantaneous, tailored insights, allowing staff members to consistently enhance their performance and remain in line with company goals (Pandya, 2023).

 

HR and artificial intelligence in the Sri Lankan work culture context

Although AI integration into HR processes is still in its infancy in Sri Lankan organizations, it is quickly gaining momentum as businesses embrace digital transformation. A lot of Sri Lankan companies are starting to use AI-driven technologies for hiring, data analysis, and employee engagement, especially in industries like banking, clothing, and IT (Fernando & Jayawardena, 2023). Local HR professionals, however, have particular difficulties, such as inadequate digital infrastructure, low AI knowledge, and worries about job displacement. These reasons call for the progressive, culturally aware use of AI that enhances rather than replaces human expertise (Wickramasinghe, 2022).

AI cannot completely replace the human connection, empathy, and personal trust that are valued in Sri Lanka's collectivist and relationship-focused workplace culture. As a result, AI should support human engagement in HR procedures rather than replace it (De Silva, 2023). AI, for instance, can help with performance analytics and data processing while managers continue to coach and interact personally. Furthermore, in Sri Lanka, ethical and open usage of AI is essential to fostering employee confidence and guaranteeing impartial, fair decision-making. Sri Lankan companies may develop HR systems that are both technologically sophisticated and people-centered by fusing AI innovation with the cultural values of respect, community, and trust.

 

Conclusion

In conclusion, by increasing productivity, strengthening decision-making, and improving the employee experience, artificial intelligence is redefining HR functions. Successful adoption in Sri Lanka necessitates striking a balance between ethical consciousness, cultural sensitivity, and technological innovation. AI can enable HR professionals to make data-driven decisions while maintaining the human touch that is fundamental to Sri Lankan workplace culture when it is carefully applied.

 

References

De Silva, K. (2023). AI adoption in HR practices: Challenges and opportunities in emerging Asian economies. South Asian Journal of Human Resource Management, 9(2), 61–79.

Fernando, M., & Jayawardena, T. (2023). Digital transformation and AI integration in Sri Lankan HR practices. Journal of Business and Technology in South Asia, 8(1), 45–63.

Pandya, H. (2023). Artificial intelligence in HR: Ethics, engagement, and performance analytics. International Journal of HR Innovation, 11(4), 88–102.

Roy, S. (2022). AI and the future of human resources management. Human Capital Management Review, 10(3), 55–70.

Sanyaolu, O. (2022). The role of AI in recruitment and talent acquisition. Global HR Analytics Journal, 7(2), 112–127.

Sithambaram, R. (2021). Virtual learning and AI in employee development: A South Asian perspective. Asia-Pacific Journal of Organizational Learning, 6(3), 79–94.

Wickramasinghe, V. (2022). Technology, ethics, and human connection: Rethinking AI’s role in Sri Lankan workplaces. Journal of Asian Organizational Studies, 7(1), 33–50.