Increase accountability of ML models dealing with sensitive data by ensuring decisions are made fairly and without bias.

Enhance customer trust and mitigate risk of discrimination while conducting credit scoring, fraud detection, and investment menagament using transparent and fair AI.

Ensuring interpretability and accuracy in medical diagnosis, treatment recommendations, drug development, and more with explainable AI.

Provide greater safety and understanding of the decision-making processes behind AI being responsible for making split-second decisions to avoid accidents.