Here’s what happens when AI takes over performance reviews

Performance reviews are widely disliked despite their intended purpose of evaluating employee performance and facilitating career growth. A Gallup survey reveals widespread dissatisfaction with current performance review systems. Subjectivity and bias are major criticisms, leading to calls for AI-powered solutions. However, replacing human bias with AI bias is a significant concern. Bryan Ackerman, from Korn Ferry, discusses the potential benefits and drawbacks of AI in performance reviews. AI can improve efficiency by automating tasks like drafting reviews and quantifying data. It can also enhance transparency and standardization in ranking systems. AI's most valuable contribution may be in assisting career development through improved feedback delivery. However, over-reliance on AI can create more problems than it solves, particularly with poor data quality. Ackerman emphasizes the importance of maintaining human interaction and nuance in the review process. AI should be a tool to augment, not replace, human judgment.