AI technologies have brought about significant privacy concerns, with some of the top ones being facial recognition, predictive analytics, and natural language processing. Facial recognition technology raises privacy risks as it can be used for mass surveillance without individuals’ consent, leading to potential abuse and invasion of privacy. Predictive analytics, especially in the context of targeted advertising and credit scoring, can lead to the creation of detailed profiles of individuals without their knowledge, potentially resulting in discriminatory practices. Natural language processing, while enabling convenient voice assistants and chatbots, also raises concerns about the privacy of personal conversations and data shared through these platforms.
To put it simply, imagine AI technologies as a network of invisible cameras and microphones that are constantly observing and analyzing everything you do and say. These technologies can recognize your face, understand your speech, and predict your behavior, all without you even realizing it. It’s like having a group of invisible spies following you around, taking note of every detail of your life and using that information to make decisions about you. This constant surveillance and analysis can lead to serious privacy risks, as your personal information and behaviors are being captured and used in ways that you may not be aware of or have consented to.
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