The intersection of privacy and AI is a hot topic, and for good reason. It’s not just about what’s happening now, but where things are headed.
So, what does the future hold for privacy in the age of AI? Well, a few key things stand out:
Regulations are only going to get tighter. We’re already seeing more and more comprehensive privacy laws popping up around the globe, and this trend is set to continue. Governments are realizing the importance of protecting personal data, especially as AI becomes more powerful, so expect stricter enforcement and bigger fines for those who don’t comply.
Ethics will take center stage. It won’t be enough to just follow the letter of the law. Businesses will be expected to demonstrate a real commitment to ethical data handling, thinking carefully about how data is collected, used, and shared, and prioritizing fairness and transparency.
Privacy-enhancing technologies (PETs) will become more sophisticated. PETs are the tools and techniques that allow us to analyze data without compromising individual privacy. Think of things like differential privacy, federated learning, and homomorphic encryption. As AI advances, so too will PETs.
We’ll likely see a shift towards decentralized identity. Individuals will take more control over their own data, using technologies like blockchain to manage and share information securely and transparently. Instead of relying on centralized databases, people will have more say in who has access to their data and how it’s used.
AI explainability and transparency will be paramount. As AI systems become more complex, we must understand how they work and how they make decisions. If people don’t understand how their data is being used by AI, they’re not going to trust it.
The future of privacy in the age of AI will depend on a combination of strong regulations, advanced technologies, and a renewed focus on ethical considerations.
Ready to learn more? Explore Cyber Resilience: Navigating the Future of Intelligent Security, an eMagazine written by Stefanini’s experts in cybersecurity, outlining the practical steps required for modern businesses to develop cyber resilience while incorporating AI.