Ethics in the Age of AI

Coursera MOOC / Non-credit USD 49

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Ethics in the Age of AI

About this course

As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.

What you'll learn

understand the ethical implications of algorithms
identify issues of fairness and bias in machine learning
apply concepts of security and privacy in AI projects

Course objectives

raise awareness of the limitations of machine learning models
develop practical skills through project-based learning

Skills you'll gain

machine learning data privacy ethics ai data ethics project-based learning bias in ai algorithm fairness security in ai ml projects

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