Year by year, artificial intelligence evolves and becomes more efficient for solving everyday human tasks. But at the same time, it increases the possibility of personal information misuse, reaching unprecedented levels of power and speed in analyzing and spreading individuals’ data. In this article, I would like to take a closer look at the strong connection between artificial intelligence systems and machine learning and their use of increasingly private and sensitive data.
Together, we’ll explore existing privacy risks, discuss traditional approaches to privacy in machine learning, and analyze ways to overcome security breaches.
This article has been indexed from DZone Security Zone