Performance Appraisal, Biases, And AI In Research Practice Test

The key idea here is human-in-the-loop: the AI does the initial screening by flagging potential concerns, but a human reviews and decides before anything is shared. This setup leverages the speed and scale of automated screening while adding human judgment to interpret nuance, assess risk, and ensure decisions comply with policies and ethical standards. That combination is essential when dealing with interview content, where tone, context, and sensitive information require careful, contextual evaluation that an algorithm alone might misread or mishandle. Automated Moderation would bypass human review entirely, leading to unchecked decisions. Thematic Concept Analysis focuses on identifying themes in text, not on a review-and-release workflow. Retrieval-Augmented Generation mixes external information into outputs, but doesn’t inherently describe a human reviewer approving results before sharing.