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Online Course

Ethics in AI and Big Data

Linux Foundation via edX

Overview

No longer stuck in the fantasy world of science fiction, Artificial Intelligence (AI) today is a reality, and data is its fuel. It is a key component of the Fourth Industrial Revolution in which the physical, digital and biological worlds are being fused together in a way that will have a tremendous impact on our global culture and economy. While the Fourth Industrial Revolution brings along promises and opportunities, it also raises concerns about security, user privacy, data misuse, and more. People distrust artificial intelligence. It is the responsibility of business and data professionals to change that: add transparency, develop standards and share best practices to build trust and drive AI adoption.

Business and data professionals today need AI frameworks and methods to achieve optimal results while also being good technology and business stewards. This course will teach you why AI and Big Data ethics is so critical and how to apply ethical and legal frameworks to initiatives in the data and analytics profession. You'll explore practical approaches to data and analytics problems posed by work in AI, Big Data, and Data Science.

Syllabus

  • 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)

Taught by

Jennifer Cloer and Gary Schillinger

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