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LinkedIn Learning

Data Rights Foundations

via LinkedIn Learning

Overview

Learn what rights you have to your own data—and what responsibilities businesses and institutions have to protect and respect those rights.

The main driver of the technological revolution isn’t artificial intelligence or machine learning. It’s data: data about people like us. So what rights do you have to your own data? What responsibilities do businesses and other institutions have in protecting and respecting those rights? This course helps everyone from laypersons to data science and business professionals understand and move forward in one of the most important issues of our time: In a world driven by data, who owns this valuable resource? Analyst Martin Kemka, a specialist in machine learning and applied AI, helps you understand your rights and how to protect them. He also helps those who work with data understand their responsibilities, including the global policies guiding AI research and applications.

Syllabus

Introduction
  • Overview of data rights
  • What you should know
1. Introduction
  • What are data rights?
  • How can they be monitored?
  • How can they be questioned?
  • Challenge: Research local policy
  • Solution: Research local policy
2. Global Policies
  • Global best practice
  • Common examples
  • Common formats
  • Request process
  • Challenge: Intercontinental policy
  • Solution: Intercontinental policy
3. Data Types and Data Rights
  • Data elements
  • Data tracking
  • Challenge: Format details
  • Solution: Format details
4. Data Protection and Security
  • Protection from data leaks
  • Security practices
  • Challenge: Research protection sites
  • Solution: Research protection sites
Conclusion
  • Actions you can take

Taught by

Martin Kemka

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