Part 9/10:
He critiques "partial solutions" and emphasizes a privacy-by-design philosophy—integrating privacy considerations from the outset of system development. The goal: fundamentally solving privacy challenges through mathematically proven methods, ensuring that AI systems remain both effective and secure.
The key lies in making privacy non-negotiable—not an afterthought—by creating architectures that allow AI to operate seamlessly without access to raw sensitive data. This approach can achieve hyperpersonalized services while maintaining strict security standards.