The Role of Artificial Intelligence in Talent Management: Opportunities and Ethical Challenge.

Introduction

The incorporation of Artificial Intelligence (AI) into talent management has emerged as a hallmark of modern Human Resource Management (HRM). In Sri Lanka's telecommunications sector, companies including Dialog Axiata and Mobitel are progressively utilising AI-driven tools to improve recruitment, performance management, and workforce analytics. Although these technologies offer enhanced efficiency and decision-making capabilities, they also present substantial ethical dilemmas that HR professionals must rigorously confront.

Artificial Intelligence (AI) in HR -Meaning, Benefits, and Limitations

From a functional point of view, AI has changed the way people are hired by automating CV screening, using predictive analytics, and letting candidates talk to chatbots. These new ideas are in line with the principles of Strategic HRM (SHRM), which says that HR practices should help the organization reach its goals and gain a competitive edge (Boxall and Purcell, 2026). AI enables telecommunications firms to more effectively identify workers with certain digital skills, a crucial competency in a sector driven by rapid technological advancement.

The implementation of AI in Human Resource Management presents intricate ethical dilemmas. Algorithmic bias is a highly contested problem, wherein AI systems may inadvertently prejudice against specific populations due to previous data patterns. This issue is especially pertinent in Sri Lanka, where socio-economic and educational inequalities may affect data inputs. Ethical HRM theory posits that organisations must uphold justice, openness, and accountability in their human resource activities (Greenwood, 2023). Neglecting to address these issues can erode employee trust and harm company reputation.

Another important concern has to do with watching employees and their privacy. AI-powered performance monitoring solutions can keep an eye on how productive employees are in real time, which can help you make better decisions. But too much monitoring might make people feel like they're being watched, which can lower morale and engagement. This tension exemplifies the overarching discourse of organisational efficiency against employee welfare, a prominent issue in modern HRM literature.

Traditional vs AI-Driven Talent Management - A Complete Guide

The Technology Acceptance Model (TAM) (Davis, 1989) provides a valuable foundation for comprehending employee perceptions of AI-driven HR technologies. TAM says that people will utilise technology if they think it is beneficial and easy to use. For Sri Lankan telecom companies to successfully use AI in HRM, they need to not only be technically sound but also get their employees to accept it. This shows how important it is to have good change management and communication plans to help the switch to AI-driven HR practices.

IBM and Vodafone, two of the world's biggest companies, have started using AI in HR while stressing the importance of ethical rules and openness. These organisations set a good example for Sri Lankan telecom companies by showing that ethical concerns and new technology may go hand in hand. The idea of Responsible AI is becoming more popular. It calls for the creation of AI systems that are fair, open, and in line with human values.

 It is important to look at the use of AI in HRM through the prism of best practice versus best fit. Sri Lankan telecom companies need to change these worldwide best practices to fit their own cultural, economic, and regulatory situations, even though they are useful. For example, when using AI to hire people, you should think about how the local job market works and make sure everyone is included.

Conclusion

Artificial intelligence has a lot of potential to improve how Sri Lanka's telecommunications business manages its employees. AI can help organisations succeed by making them more efficient and allowing them to make decisions based on facts. But these benefits need to be weighed against moral issues like fairness, openness, and the privacy of employees. HR specialists are very important in dealing with these problems. They make sure that AI-driven activities are in line with both the goals of the organization and the values of society. In the end, the future of AI in HRM will depend on how well companies can combine new technology with moral responsibilities.

Source:https://www.youtube.com/watch?v=Uel7l71ZDJk

References

Boxall, P. and Purcell, J. (2026) Strategy and Human Resource Management. London: Palgrave.

Davis, F.D. (1989) ‘Perceived usefulness, perceived ease of use, and user acceptance of information technology’, MIS Quarterly, 13(3), pp. 319–340.

Greenwood, M. (2023) ‘Ethical analyses of HRM’, Journal of Business Ethics, 114(2), pp. 355–366.

https://www.youtube.com/watch?v=Uel7l71ZDJk (Accessed 13.04.2026)

Comments

  1. Gayathri DalpathaduApril 15, 2026 at 9:04 AM

    A strong and well-argued discussion that clearly explains how AI is transforming talent management in Sri Lanka’s telecom sector. You effectively connect theory (SHRM, TAM, and ethical HRM) with real organisational practices, which strengthens your academic depth. The focus on ethical concerns such as algorithmic bias, privacy, and employee surveillance shows critical thinking and balance, rather than only highlighting benefits.

    ReplyDelete
  2. ThashinthanApril 16, 2026 at 6:00 AM

    Timely and thoughtful piece — clear on both the promise and the pitfalls of AI in HR. I especially liked the emphasis on balancing efficiency with fairness, transparency and employee wellbeing. It would be even more useful with a few concrete examples or a short checklist for how Dialog, Mobitel and others can put ethical AI into practice.

    ReplyDelete
  3. Gayan halangodaApril 20, 2026 at 8:17 AM

    Your blog provides a very insightful and well-explained overview of the role of artificial intelligence in the telecom industry. I really liked how you highlighted the practical applications of AI, especially in improving network performance and customer experience. It’s true that AI is transforming telecom by enabling predictive maintenance, smarter network optimization, and faster customer support through automation and data-driven insights . Your content clearly shows how AI is becoming essential for telecom companies to stay competitive in a rapidly evolving digital environment.
    In your opinion, how can telecom companies effectively balance AI-driven automation with the need for human expertise and decision-making?

    ReplyDelete
    Replies
    1. Dinusha AluthwattaApril 20, 2026 at 8:50 AM

      Thanks for your thoughtful comment and question. Telecom companies can best balance AI automation with human expertise by using AI to handle routine, data-heavy tasks while keeping humans in control of complex and sensitive decisions. For example, AI can support areas like network monitoring, predictive maintenance, and customer service chatbots, but final decisions—especially those involving ethics, hiring, or customer issues—should involve human judgment.
      It’s also important to keep employees involved through training and upskilling, so they can work alongside AI rather than be replaced by it. In this way, AI becomes a support tool that improves efficiency, while humans ensure fairness, context, and accountability in decision-making.

      Delete
  4. Dinusha AluthwattaApril 20, 2026 at 8:49 AM

    This comment has been removed by the author.

    ReplyDelete
  5. Chandima KarunarathneApril 20, 2026 at 8:18 PM

    This is a strong and very current HRM discussion. You clearly explain how AI is transforming talent management in Sri Lanka’s telecom sector and you support your points well with theory (SHRM, TAM, ethical HRM) and real-world examples like IBM and Vodafone.

    A key strength is your balanced approach. You don’t just highlight the benefits of AI, but also critically discuss ethical issues like bias, privacy, and employee trust. That shows good academic depth.

    One area you could develop further is the employee experience side. How workers actually feel about AI replacing or supporting HR decisions in recruitment and performance management.

    Do you think AI in HR will ultimately increase fairness in talent management, or could it unintentionally create new forms of inequality?

    ReplyDelete
    Replies
    1. Dinusha AluthwattaApril 20, 2026 at 9:52 PM

      AI in HR can improve fairness in talent management by making decisions more data-driven and reducing human bias in recruitment and performance evaluation.
      However, it can also unintentionally create new inequalities if the data used is biased or if employees do not understand how decisions are made. This may lead to trust issues and feelings of unfair treatment. So, AI has a strong potential to increase fairness, but only if it is used carefully with transparency, proper monitoring, and human oversight.

      Delete
  6. Nathasha JayamannaApril 21, 2026 at 4:32 AM

    This effectively connects AI adoption in HRM with both strategic efficiency and ethical considerations, particularly in a telecom context. One aspect that could be explored further is the long term impact on HR professionals themselves, as automation may gradually shift their role from operational tasks to more strategic and advisory functions. It also raises the question of whether organisations in Sri Lanka are culturally prepared for such a shift, especially in terms of trust in algorithm based decisions.

    ReplyDelete
  7. Saranga WijesingheApril 21, 2026 at 5:54 AM

    This is a very insightful and relevant discussion on the role of Artificial Intelligence in HR. You clearly explain how AI can improve efficiency, decision-making, and employee management while also highlighting important challenges such as bias and the need for human oversight . It would be interesting to explore how organizations can balance AI use with human judgment to ensure fairness and maintain employee trust.

    ReplyDelete
  8. S Adam- E297385April 21, 2026 at 6:32 AM

    This is a very informative analysis of the role of artificial intelligence in HRM that clearly highlights how AI is transforming key HR functions such as recruitment, performance management, and employee engagement through automation and data-driven decision-making.
    However, how can HR ensure that the increasing use of AI supports fair and transparent decision-making while still preserving the human judgment and empathy required in managing people?

    ReplyDelete
    Replies
    1. Dinusha AluthwattaApril 21, 2026 at 6:44 AM

      HR should use AI as a support tool, not a full decision-maker. Human judgment is still needed to ensure fairness, transparency, and empathy in HR decisions. A balance between AI efficiency and human involvement is the best approach.

      Delete
  9. Umeash BandaraApril 21, 2026 at 8:17 AM

    Nice Blog! AI is really changing HR fast , especially in recruitment and decision making. It’s great how you highlighted the efficiency side, but as HR people we also need to balance it with human judgment and fairness. AI can support us, but final people decisions still need that human touch. Good topic and very relevant!

    ReplyDelete
  10. Harshani ArnoldaApril 21, 2026 at 8:23 AM

    Dinusha, This is a timely and highly relevant observation, especially given the rapid digital transformation within the South Asian tech landscape. By 2026, the shift from AI being a luxury feature to a core infrastructure in HR is becoming undeniable, particularly in high-churn, high-data industries like telecommunications.

    ReplyDelete
  11. Satheeshwaran BalasundaramApril 21, 2026 at 11:05 AM

    Your content on AI in HR is very good and easy to understand. I like how you explained the use of artificial intelligence in human resource management. It is a very important and modern topic.
    But I want to ask something. Can AI fully replace human judgment in HR decisions, or is human involvement still needed for fairness and better understanding?

    ReplyDelete
  12. Ashan WimalasurendraApril 21, 2026 at 12:36 PM

    Very insightful post. Since AI can screen large applicant pools quickly, should organisations now view AI recruitment tools as a strategic necessity rather than an optional HR technology?

    ReplyDelete

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