Bigotry
Content or behavior that promotes hatred, discrimination, or prejudice against individuals or groups based on protected characteristics such as race, religion, or gender.
What is Bigotry?
In AI and content moderation, bigotry can include language that demeans, stereotypes, excludes, or promotes hostility toward people because of their identity or protected characteristics. AI safety systems may use classifiers, moderation models, and policy-based controls to identify potentially bigoted content in user inputs and model outputs.
Why is Bigotry Important?
AI systems can unintentionally generate, amplify, or distribute prejudiced content learned from training data or prompted by users. Detecting bigotry helps organizations create safer AI experiences, reduce discriminatory content, protect users, and support responsible AI and content safety policies.
Common use cases
Bigotry detection is commonly used in AI chatbots, social platforms, online communities, content moderation systems, generative AI applications, and trust and safety programs.