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Showing posts from March, 2025

ARTICLE:10- AI IN LEARNING & DEVELOPMENT: THE FUTURE OF WORKFORCE UPSKILLING

  INTRODUCTION Artificial intelligence (AI) is reshaping workforce upskills through learning experience personalization, increasing engagement, and automating back-office processes. AI based L&D solutions provide organizations with a cost-efficient process for equipping their employees with skills demanded by an evolving workplace. There are opportunities AI has to offer, however, as well as challenges that must be navigated by organizations so they can derive the maximum advantage from it. AI-BASED PERSONALIZED TRAINING AND PROFESSIONAL DEVELOPMENT AI makes personalized learning possible by tailoring content to individual workers based on their learning style, performance measurement, and career aspiration (Henderson, 2017). Unlike traditional training systems, AI based platforms utilize adaptive learning algorithms to gauge advancement and provide personalized recommendations. Kolb's (1984) Learning Cycle, with its emphasis on experiential learning through concrete ex...

ARTICLE:09- AI IN EMPLOYER BRANDING: ATTRACTING TALENT IN THE DIGITAL AGE

  INTRODUCTION Employer branding also comes into play when it comes to capturing and retaining the best people in a job market with an abundance of qualified candidates. Artificial intelligence (AI) is redefining the way companies produce and build their employer brand in today's online age. AI based tools help companies enhance their reputation, reinforce recruitment marketing efforts, and improve candidate experience. It elaborates on the way AI assists in employer branding application of employee value proposition (EVP) and initiatives to boost employer branding and its potential issues.   AI AND EMPLOYER BRANDING: AN OVERVIEW Employer branding refers to the reputation of an organization as an employer and the worth it offers to its employees. According to Backhaus and Tikoo (2004) employer branding consists of both internal and external factors that affect current employees as well as potential applicants. AI powered solutions such as machine learning, sentiment an...

ARTICLE:8- AI & AUTOMATION IN HR: A BALANCED APPROACH

  The intersection of Artificial Intelligence (AI) and automation in Human Resource Management (HRM) has transformed organizational management of its workforce. As much as AI and automation have unprecedented potential of automating HR functions, they also have some significant challenges particularly on issues of ethics, equity, and depersonalization of employee relations. With artificial intelligence increasingly embedded in HR processes organizations must walk the tightrope between operational efficiency and moral obligations in order to facilitate an end-to-end strategy towards human capital management. OPPORTUNITIES PRESENTED BY AI AND AUTOMATION   AI and automation are transforming HR operations through enhancing efficiency and minimizing operating costs significantly. Routine tasks like screening initial candidates, shortlisting resumes, onboarding, payroll processing, and answering repetitive employee questions can now be automated with AI technologies (Meister, ...

ARTICLE;7- BEST PRACTICES IN IMPLEMENTATION OF AI FOR HRM

  Artificial Intelligence (AI) has emerged as a core element of Contemporary Human Resource Management (HRM) providing tools that make processes more efficient free of biases and enhance employee engagement. AI deployment into HR activities however, must be taken up with circumspection against ethical issues, data privacy, and fairness. This section describes the best practices in AI implementation for HRM and provides case studies of successful AI implementation. Incorporating AI Without Sacrificing Ethical HR Practices Organizations must have robust systems to guarantee that AI technologies used in HR functions conform to ethical principles and legal guidelines. As Binns (2018) demonstrates, AI algorithms when utilized in HR activities such as recruiting and performance appraisal can reinforce unintentionally prior biases in the data. Corporations must ensure therefore that AI algorithms are audited regularly for fairness and accuracy, and transparency, and interpretability...

ARTICLE :6-THE FUTURE OF HR PROFESSIONALS WITH AI AND JOB REPLACEMENT.

  Artificial intelligence (AI) is transforming human resources (HR) management in a major way and questions have been raised regarding the future of HR professionals. As AI increasingly dominates recruitment, employee engagement and performance management job displacement and altered dynamics of HR roles in the era of AI worry most HR professionals. Will AI displace HR roles, or open new opportunities for HR professionals to expand? AI IN HR: AUGMENTATION AND NOT AUTOMATION Artificial intelligence has significantly enhanced HR activities like resume screening, interview scheduling, employee assistance by chatbots, and predictive workforce planning analytics (Kaplan & Haenlein, 2019). Such AI enabled tools are dominating repetitive, rule-based tasks, relieving administrative workload and rendering processes more effective. For example, AI powered Applicant Tracking Systems (ATS) are able to screen thousands of resumes in mere seconds and select the most appropriate candidate...

ARTICLE:5-ETHICAL AND LEGAL CHALLENGES OF AI IN HR: BIAS, COMPLIANCE, AND TRUST —SRI LANKAN VIEWPOINT

  Artificial Intelligence (AI) is rapidly transforming Human Resource (HR) activities in sectors across the globe including Sri Lanka's evolving corporate economy. From AI recruitment to AI-driven performance appraisals and workforce analytics AI promises to be efficient and accurate. But AI introduces ethical and legal considerations most prominently around bias in AI decisions and compliance with labor legislation and data privacy rules. The current paper critically assesses these issues in the context of Sri Lankan organizations and provides real world examples understandings and approaches to controlling risks. 1. Bias in HR Decisions from AI AI Bias and Its Impact on HR Practices AI technologies make projections about future results based on historical data. If historical data contain unconscious gender, ethnic, or age biases, then AI can propagate and amplify these biases into hiring, promotions, and compensation (Binnes, 2018). In Sri Lanka ethnic and gender repr...