Bias — Safeguarding Against Bias
We work to reduce bias in our AI systems so that Explicity treats people fairly and does not produce harmful or discriminatory content. Fairness is at the core of our research.
Content Moderation and Safety Filters
We train our AI and use safety filters to prevent the model from generating biased, harmful, or discriminatory content. These filters help ensure the AI responds in a fair and respectful way to every query.
Image Stereotyping
Before our AI generates images, a safety system checks the request to ensure it does not include harmful stereotypes or baseless claims. If a request violates our fairness policies, the AI will refuse to generate the image.
Vocal Stereotyping
We train our AI to avoid reinforcing stereotypes related to accents. The system is designed to never make assumptions about a person’s intelligence, nationality, race, or background based only on their voice.
Research on Bias and Fairness
We conduct ongoing research to improve fairness in AI. By continuously studying AI behavior, we make technical improvements so that Explicity remains balanced and respectful to all people.
Our Goal
Our goal is to build AI that is fair, unbiased, respectful, and safe for everyone, regardless of their background, language, or identity.