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As an API consumer of frontier models, Xoxoday relies on the bias mitigation measures implemented by the external AI providers in their model training processes.
As an API consumer of frontier models, Xoxoday relies on the bias mitigation measures implemented by the external AI providers in their model training processes. Additionally, Xoxoday implements the following platform-level controls: (1) AI-generated content (recognition messages, award citations) is always presented as suggestions that users can edit or reject before submission, ensuring human oversight. (2) The fraud detection feature (quid pro quo flagging) is designed to identify biased recognition patterns and ensure fairness across recognition programs. (3) Recognition gap analysis specifically identifies under-recognized employees to promote inclusivity. (4) Content moderation flags inappropriate or biased content before publication. (5) Xoxoday maintains a formal privacy, data protection, and AI ethics training program that is mandatory for all employees, including specialized modules for those working with AI-related processes. Learn more: Empuls Help Centre

Is the input, output or training data used to improve Xoxoday's AI service?

Customer data sent to frontier model APIs is not used to improve Xoxoday’s AI service or the underlying AI provider’s models…

Is the input, output or training data used to train, retrain...

Customer data is not used to train, retrain, or improve shared AI/LLM models…