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.
À propos de ce cours
Compétences que vous acquerrez
- 5 stars71,42 %
- 4 stars24,48 %
- 3 stars4,08 %
Meilleurs avis pour ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE
This course provides practical steps to protect privacy.
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
A relatively short but interesting course relating to privacy concerns around AI and ways to manage/improve models to address these concerns.
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
À propos du Spécialisation Ethics in the Age of AI
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