Interpretable Toxicity Detection: A Concept-Based Approach

This research explores interpretable AI methods for identifying toxic content, a critical area for responsible AI deployment. Focusing on concept-based interpretability suggests a novel approach potentially improving transparency and understanding in toxicity detection models.