Artificial Intelligence Privacy and Convenience (Coursera)

Artificial Intelligence Privacy and Convenience (Coursera)
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Artificial Intelligence Privacy and Convenience (Coursera)
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects.

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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.

Course 3 of 4 in the Ethics in the Age of AI Specialization


Syllabus


WEEK 1

Privacy and convenience vs big data

In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning


WEEK 2

Protecting Privacy: Theories and Methods

In Module 2, we are going to take a deeper look at dataset security. We will also look into methods to add privacy to existing and new datasets to protect those individuals in them


WEEK 3

Building Transparent Models

In Module 3, we will discuss putting ethical, private models into practice. We will explore the explainable AI movement as well as tradeoffs for the teams putting together these algorithms



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Course Auditing
41.00 EUR/month

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.