Training > AI/Machine Learning > Ethics in AI and Big Data (LFS112)
Training Course

Ethics in AI and Big Data (LFS112)

Learn how to build and incorporate ethical frameworks in your AI and Big Data technology and business initiatives to add transparency, build trust, and drive adoption in this free course.

Who Is It For

This course is for business and data professionals who are responsible for building and adopting AI tools.
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What You’ll Learn

In this course you will learn about business drivers for AI, the business and societal dynamics at work in an AI world, the key principles for building responsible AI, the initial steps to take when planning your AI framework, what ethics means and how to apply it to AI, what considerations should inform your ethical framework, what this framework should include, pan-industry initiatives on ethical AI, the drivers for open source to support AI, and the technical and non-technical implications of AI.
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What It Prepares You For

You will walk away from this course with an understanding of how to add transparency, develop standards and share best practices to build trust and drive AI adoption.
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Course Outline
Welcome
Chapter 1. Drivers for Data Science
Chapter 2. Overview of AI and Data Science Ethics
Chapter 3. Building Your Ethical AI Framework
Chapter 4. Open Source and AI
Chapter 5. Going Forward with AI
Final Exam (Verified track only)