The original vision for the web was a decentralized, anonymous sanctuary. Today, that paradigm has completely flipped. Every prompt you type hands your digital life over to centralized tech giants. By relying on SaaS AI, we are voluntarily building the largest surveillance dataset in history, surrendering sensitive data to corporations that actively share it with governments and third parties. We traded our anonymity for the convenience of a chatbot. And this is getting more and more part of our everyday lives.

But you don’t have to choose between powerful tools and your privacy.

In this session, we will explore cutting-edge solutions to keep your thoughts and data to yourself while, at the same time, keep using AI in every aspect of your life, whether that be for personal or corporate use. We will dive into the future of AI exactly as users want it: how to keep using AI for everything you do today, without ever sharing a single byte of private data to others.

The focus of this talk is to explore the technical challenges of AI data privacy, and the active investigations and developments that try to close the loop.

For users: We will demonstrate how smartphones can securely run Small Language Models (SLMs) entirely on-device with zero data leakage. We will also cover how to fine-tune these models using private data, either locally, or by securely encrypting and routing it to private servers or decentralized blockchain networks.

For companies: We will detail how to deploy private-first AI architectures. The goal is to stop feeding proprietary data to SaaS giants like OpenAI, preventing your intellectual property from training the very models your competitors use to build their products.