A lack of data is holding back AI—what’s available on the public Internet is just a small fraction of the world's information. This creates a massive opportunity. If privacy can be protected, medical and other highly sensitive yet extremely valuable data could safely train LLMs, leading to major leaps in understanding by AI models, such as in health and financial markets. Chainlink Chief Scientist @AriJuels, and Chainlink Advisor and former AI Advocacy Lead at Google, @lmoroney, came together to discuss how Chainlink’s privacy-preserving oracles and protected pipelines for machine-learning security can advance AI ↓

Read the full paper on protected pipelines for machine learning: