Artificial Intelligence Privacy and Convenience

LearnQuest via Coursera

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Overview

Artificial Intelligence Privacy and Convenience explores the delicate balance between leveraging AI technologies to enhance user convenience and safeguarding individual privacy. As AI becomes increasingly integrated into everyday life—through smart devices, personalized services, and automated decision-making—understanding the privacy implications is crucial. This course examines how AI systems collect, process, and use personal data to deliver seamless experiences, such as voice assistants, recommendation engines, and smart home technologies. While these conveniences improve efficiency and personalization, they raise significant concerns about data security,...

Syllabus

Privacy and convenience vs big data

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

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

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