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Compliance and Regulations for Generative AI

Via LinkedIn Learning

LinkedIn Learning based on 522 ratings

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Overview

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...

Syllabus

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

Compliance and Regulations for Generative AI
Go to Class

via LinkedIn Learning

41 minutes

Certificate Available

English

On-Demand

Instructor

Adrian Gonzalez Sanchez

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