The article discusses the rise of AI-powered mass surveillance and the concerns surrounding privacy and individual freedom. It highlights how countries like France and the UK have already implemented AI surveillance systems and how the demand for this technology is expected to grow. The article also raises concerns about the storage and management of sensitive data and the need for a secure environment for data analytics. It introduces the concept of Decentralized Confidential Computing (DeCC) as a potential solution, which aims to create a decentralized and trustless system for data analytics and processing. The article mentions different techniques being tested for DeCC, such as Zero-knowledge Proofs (ZKPs), Fully Homomorphic Encryption (FHE), and Multi-Party Computation (MPC), with MPC emerging as a frontrunner. It suggests that decentralized confidential computing technology is crucial for ensuring individual privacy and data protection in an era where machine learning is being integrated into various sectors.



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