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The "Compliance and Regulations for Generative AI" course is designed to equip professionals with a foundational understanding of the evolving legal, ethical, and regulatory landscape surrounding generative AI technologies. As organizations adopt generative AI tools for content creation, decision-making, and automation, ensuring compliance with global standards and regulations becomes critical. This course explores the core compliance requirements applicable to generative AI, including data privacy laws (like GDPR and CCPA), intellectual property considerations, transparency mandates, and ethical usage guidelines. Learners will examine...
Introduction
Introduction to Gen AI compliance
What you should know
1. Generative AI Fundamentals
Origins of artificial intelligence
Key differentiators of generative AI
Examples of generative AI tools
Typical personas for data and AI governance
CTA: Internal evaluation and compliance processes
2. Main Governance and Compliance Topics
AI ethics and regulations
Operationalization of the generative AI governance
Understanding AI and data regulations
History of data privacy regulations
International AI regulations
Interactive resources
3. Regulation Case: EU AI Act
Backstory for the EU AI Act
Levels of risk and use cases
Detail of requirements for generative AI
Considerations for EU and international adopters
4. Other Governance Topics
AI principles
AI standards
Example of company frameworks: Microsoft
5. Case Study: ACME EdTech
Company introduction
Generative AI use case
Compliance considerations
Recommended to-do list
Wrapping up
Conclusion
Next steps
Adrian Gonzalez Sanchez
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