AI Quality Expert

Audience:

• Professionals developing and deploying AI systems, technical team leaders, quality managers, data experts and compliance managers.

• Identify technology that is governed by AI standards and regulations.
• Manage risks and opportunities in AI.
• Differentiate attack vectors such as adversarial attacks and how to eliminate them.
• Define quality criteria such as robustness, accuracy, reliability, explicability and methods how to control them.
• Classify AI roles, responsibilities, and liabilities for organisations and individuals.
• Specify key components of AI governance.
• Implement and manage AI controls.

• The basics: Why do we need dedicated AI Quality Framework?
• The understanding: How can we define quality of AI?
• The solution: A comprehensive and compliant AI quality framework
• The application: Applying AI quality framework in day-to-day operation