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
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Artificial Intelligence Privacy and Convenience
This course is part of Ethics in the Age of AI Specialization
Instructor: LearnQuest Network
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109 reviews
Intermediate level
Some related experience required
5 hours to complete
Flexible schedule
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9 assignments
Taught in English
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This course is part of the Ethics in the Age of AI Specialization
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Showing 3 of 109
SY
Reviewed on Apr 2, 2021
A relatively short but interesting course relating to privacy concerns around AI and ways to manage/improve models to address these concerns.
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.
CA
Reviewed on Feb 12, 2021
A good course on balancing between privacy and aggregate results. It tells how anonymization should be done. It did not cover enough the correlations between privacy and accuracy though
