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Compliance and Regulations for Generative AI

Compliance and Regulations for Generative AI

41mGeneral2024-04-19

Authors

Adrián González Sánchez

Adrián González Sánchez

Course details

Generative AI, as a relatively new type of technology, brings new ethical and regulatory questions to any individual or company leveraging LLM (Large Language Models) and other kinds of Generative AI models. In this course, AI strategist and author Adrián Gonzáles Sánchez highlights what you’ll need to know about compliance and regulations regarding generative AI. Go over generative AI fundamentals, including examples of tools. Then dive into AI ethics and regulations, data privacy regulations, international AI regulations, and more. Explore the EU AI Act as an example of regulation. Review AI principles and standards and explore the case study of “ACME EdTech”. This course equips you with the understanding you need to move forward with compliance and regulations for generative AI.

Skills covered

Responsible AIGovernance, Risk, and ComplianceGenerative AICybersecurityArtificial Intelligence (AI)One-Off

Concepts

0. Introduction

  • 01 - Introduction to Gen AI compliance
  • 02 - What you should know

1. Generative AI Fundamentals

  • 03 - Origins of artificial intelligence
  • 04 - Key differentiators of generative AI
  • 05 - Examples of generative AI tools
  • 06 - Typical personas for data and AI governance
  • 07 - CTA - Internal evaluation and compliance processes

2. Main Governance and Compliance Topics

  • 08 - AI ethics and regulations
  • 09 - Operationalization of the generative AI governance
  • 10 - Understanding AI and data regulations
  • 11 - History of data privacy regulations
  • 12 - International AI regulations
  • 13 - Interactive resources

3. Regulation Case - EU AI Act

  • 14 - Backstory for the EU AI Act
  • 15 - Levels of risk and use cases
  • 16 - Detail of requirements for generative AI
  • 17 - Considerations for EU and international adopters

4. Other Governance Topics

  • 18 - AI principles
  • 19 - AI standards
  • 20 - Example of company frameworks - Microsoft

5. Case Study - ACME EdTech

  • 21 - Company introduction
  • 22 - Generative AI use case
  • 23 - Compliance considerations
  • 24 - Recommended to-do list
  • 25 - Wrapping up

Conclusion

  • 26 - Next steps

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