You Can't Unbake a Cake (or Why Data Isolation in the Age of AI is BASICALLY Impossible)
Discover why data isolation in the age of AI is virtually impossible in this thought-provoking article. As privacy regulations demand the removal of individual data from AI models, the intricate processes of neural networks come into focus. Learn how neural networks, like baking a cake, transform data into complex mathematical structures that intermingle and encode patterns. Dive into the challenges of trying to extract specific data from these structures and the regulatory dilemmas that arise. Explore concepts like differential privacy and federated learning as potential solutions, while facing the fundamental trade-offs between privacy and performance. Delve into the complexities of data ownership in transformed mathematical structures and the need for new frameworks that align with the inherent properties of AI systems.
