Learn to secure your AI/ML model's alignment with ethical standards and equitable outcomes post-deployment, promoting community impact and adapting to user needs.

Explore the role of AI Literacy and end-user education in boosting the explainability and trustworthiness of algorithmic models.

Learn to continuously enhance AI product usability by collecting and analyzing customer feedback through user experience testing.

Discover methods for evaluating model performance, reliability, and fairness post-launch, along with strategies for continuous improvement and iteration.