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Artificial Intelligence Privacy and Convenience

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.

Status: Vulnerability Assessments
Status: Responsible AI
IntermediateCourse5 hours

Featured reviews

SY

Reviewed 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 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 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

CM

Reviewed Oct 2, 2021

This course provides practical steps to protect privacy.

BS

Reviewed Dec 22, 2020

This was a very interesting eye opening Course of the Future, thank you.

All reviews

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Bruce
5.0
Reviewed Dec 23, 2020
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Reviewed Oct 9, 2025
SEAH
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Reviewed Apr 3, 2021
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Reviewed Jan 17, 2021
Pascal
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Reviewed Aug 12, 2021
Chow
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Reviewed Oct 3, 2021
SINZINKAYO
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Reviewed Feb 17, 2021
William
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Reviewed Nov 2, 2022
AHMED
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Reviewed Dec 30, 2024
Mohammad
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Reviewed Nov 14, 2023
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Reviewed Dec 3, 2024
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Reviewed Sep 15, 2024
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Reviewed Aug 11, 2024
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Reviewed Aug 8, 2024
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Reviewed Oct 23, 2024
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Reviewed Sep 22, 2025
Dr.
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Reviewed Mar 16, 2021
Cem
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Reviewed Feb 13, 2021
Yogita
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Reviewed May 23, 2021
Khánh
4.0
Reviewed Apr 22, 2026