Course / Domain II
Laws, standards and frameworks
How privacy, consumer, anti-discrimination and IP law already reach AI; the EU AI Act in depth; NIST AI RMF and ISO standards; and the global landscape.
19–23 scored items0/6 lessons done
Lesson 2.1 · 12 min
Privacy and data protection law applied to AI
- Apply GDPR principles to AI training and inference
- Explain Article 22 and Article 35
Lesson 2.2 · 11 min
Consumer, anti-discrimination, liability and IP law
- Explain how US regulators apply existing law to AI
- Recognize IP issues in training data and outputs
Lesson 2.3 · 15 min
EU AI Act I: scope, roles and risk tiers
- Determine when the EU AI Act applies
- Identify providers, deployers and other operators
- Classify systems into the four risk tiers
Lesson 2.4 · 16 min
EU AI Act II: obligations, GPAI, dates and penalties
- List provider and deployer obligations for high-risk AI
- Explain GPAI and systemic-risk duties
- Recall key dates and penalty tiers
Lesson 2.5 · 13 min
NIST AI RMF, ISO standards and other frameworks
- Describe the four functions of the NIST AI RMF
- Distinguish ISO/IEC 42001 from guidance standards
- Place other frameworks in context
Lesson 2.6 · 13 min
The global AI law landscape
- Recognize major US federal and state AI measures
- Recognize the approach of other key jurisdictions