Can Experts Tell the Difference? Analyzing the Quality of Human, AI-Generated, and Hybrid Assessment Reports in a Blind Review

1. Background & Urgency The use of Generative AI in writing HR assessment reports is becoming increasingly prevalent for the sake of time efficiency. However, there is currently insufficient empirical validation regarding the quality, accuracy, and "human touch" of AI reports compared to expert writers. This study aims to objectively assess whether the quality of AI reports meets professional human standards. 2. Research Objectives (1) To measure the quality of three types of assessment reports: (1) Full AI, (2) Full Human, and (3) AI with Human Editing, based on a blind review by professionals (2) To determine the most optimal writing method in terms of both quality and efficiency.