In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
Artificial Intelligence Privacy and Convenience
Artificial Intelligence Privacy and Convenience
This course is part of Ethics in the Age of AI Specialization
Instructor: LearnQuest Network
Access provided by Interbank
8,750 already enrolled
Gain insight into a topic and learn the fundamentals.
102 reviews
Intermediate level
Some related experience required
5 hours to complete
Flexible schedule
Learn at your own pace
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Assessments
9 assignments
Taught in English
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This course is part of the Ethics in the Age of AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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Showing 3 of 102
YL
Reviewed on May 22, 2021
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
CM
Reviewed on Oct 2, 2021
This course provides practical steps to protect privacy.
BS
Reviewed on Dec 22, 2020
This was a very interesting eye opening Course of the Future, thank you.
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