Published Paper Details:

Artificial Intelligence (AI) Is Rapidly Transforming Human Resource Management (HRM), Making Processes Like Hiring, Performance Evaluations, And Employee Engagement More Efficient. However, While AI Brings Speed And Precision, It Also Raises Serious Moral And Ethical Concerns. This Paper Explores The Key Dilemmas That Arise When AI Takes On Human-Centric HR Tasks, Including Bias In Hiring, Employee Privacy Risks, Job Displacement, And The Question Of Accountability When AI Makes Decisions. AI-Powered Recruitment Tools, Despite Their Efficiency, Often Inherit Biases From The Data They Learn From, Leading To Unfair Hiring Practices. AI-Driven Surveillance And Data Analytics, While Intended To Enhance Productivity, Can Feel Intrusive And Raise Concerns About Employee Privacy And Consent. Furthermore, Automation Threatens Traditional Jobs, Making It Crucial For Organizations To Invest In Reskilling And Upskilling Their Workforce. Another Major Challenge Is The Lack Of Clear Accountability--When AI Makes A Flawed Decision, Who Takes Responsibility? To Create A Fair And Ethical Workplace, Organizations Must Ensure AI Systems Are Transparent, Unbiased, And Respectful Of Employee Rights. AI Should Support HR Professionals, Not Replace The Human Touch That Is Essential In People Management. By Striking A Balance Between Technological Advancements And Moral Responsibility, Businesses Can Harness AI's Potential While Maintaining Trust, Fairness, And Integrity In The Workplace.