AI algorithms compromise user privacy online in several ways. Firstly, AI algorithms are often used to collect and analyze vast amounts of user data, including personal information, browsing history, and online behavior. This data is then used to create detailed user profiles, which can be exploited for targeted advertising, personalized content, or even sold to third parties without the user’s consent. Additionally, AI algorithms can also make inferences about a user’s preferences, habits, and even sensitive information, leading to potential privacy breaches if this data falls into the wrong hands. Furthermore, AI algorithms can also perpetuate biases and discrimination, leading to unfair treatment or exclusion of certain groups based on their personal data.
To put it simply, imagine AI algorithms as invisible spies that constantly watch and record everything you do online. They gather information about your likes, dislikes, and even your deepest secrets without you even realizing it. Then, these spies create a detailed dossier about you, which can be used to manipulate your choices, bombard you with targeted ads, or even be sold to others without your knowledge. Moreover, these spies can also make assumptions about you, leading to potential discrimination or unfair treatment based on your online activities.
Please note that the provided answer is a brief overview; for a comprehensive exploration of privacy, privacy-enhancing technologies, and privacy engineering, as well as the innovative contributions from our students at Carnegie Mellon’s Privacy Engineering program, we highly encourage you to delve into our in-depth articles available through our homepage at https://privacy-engineering-cmu.github.io/.
Author: My name is Aman Priyanshu, you can check out my website for more details or check out my other socials: LinkedIn and Twitter