AI Assisted Labeling refers to the use of machine learning models to assist humans in annotating data efficiently. In this approach, an AI model pre-labels data, and human annotators verify or refine the labels. This reduces the time and effort required for large-scale annotation tasks, particularly in image segmentation, speech transcription, and text classification. AI-assisted labeling is commonly integrated into active learning workflows, allowing the model to suggest labels for uncertain or ambiguous data points.