Toxicity in AI refers to harmful, offensive or inappropriate content that a model might generate or fail to identify. In financial services contexts, this includes discriminatory language, unprofessional communications or content that could damage client relationships or firm reputation. Toxicity detection and filtering mechanisms help ensure AI systems maintain professional standards and align with conduct regulations, protecting both clients and firms from harmful interactions.
