Consumers can protect their privacy in AI-driven systems by being mindful of the data they share and the permissions they grant. It’s important to review and understand the privacy policies and terms of service of the AI-driven systems they use, as well as the data collection and storage practices. Consumers should also consider using privacy-focused tools such as virtual private networks (VPNs) to encrypt their internet connection and prevent tracking, and ad blockers to minimize the amount of data shared with third-party advertisers. Additionally, being cautious about the personal information shared on social media and other online platforms can help minimize the data available for AI-driven systems to analyze. Regularly updating passwords and enabling two-factor authentication can also add an extra layer of security to protect personal data from unauthorized access.
Imagine AI-driven systems as a network of interconnected roads. To protect your privacy, you need to be mindful of the routes you take and the information you share along the way. Just as you would carefully choose which roads to travel on and what personal details to disclose while navigating through a city, being cautious about the data you share and the permissions you grant in AI-driven systems is crucial for safeguarding your privacy. Using privacy-focused tools is like using a secure vehicle to travel on these roads, ensuring that your journey is protected from prying eyes and potential hazards.
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