You’ll learn how to apply safety, security, and resilience in practice using global frameworks like ISO/IEC 42001, the EU AI Act, and the NIST AI RMF.
Let's explore how artificial intelligence challenges traditional data protection principles, from consent and transparency to data minimization and accountability
In this course, we discuss how unfairness arises in AI systems, how to detect it, and how to implement safeguards to mitigate discriminatory outcomes.
Let's explore how accountability and traceability function within AI governance frameworks such as ISO/IEC 42001, the NIST AI Risk Management Framework, and the European Union’s AI Act.
Learn about transparency and explainability in AI systems and how they align with international standards like ISO/IEC 42001, NIST AI Risk Management Framework, and the EU AI Act.
In this course, we explore the guiding principles of AI governance and how each one supports trust, compliance, and ethical decision-making across the AI lifecycle.
This course introduces you to the principles of AI governance and explores the field's key frameworks, including ISO/IEC 42001, the NIST AI RMF, and the EU AI Act.
