2. Transparency & Explainability

User-Friendly Insights: Clear explanations of AI functionalities, limitations, and outputs.

Open Documentation: Detailed records on data origins and algorithmic decisions.

Performance Metrics: Sharing model accuracy and limitations to build trust.

Ethical Practices: Adherence to transparency standards and the inclusion of user customisation features.