Breakthrough in Encryption Allows Models to Process Undecrypted Data with Significant Secondary Consequences
privacy
| Source: Mastodon | Original article
AI models can now run on encrypted data, potentially solving a major privacy problem.
A significant encryption breakthrough has been achieved, enabling models to run on data without decrypting it. This development has a profound second-order effect: the promise of not training on user data, previously a guarantee of privacy, now becomes a mathematical problem that can be solved.
This matters because it challenges the current understanding of data privacy, particularly in the context of artificial intelligence and machine learning. The ability to process encrypted data without decryption means that the assurance of not using certain data for training models is no longer absolute.
As this technology evolves, it will be crucial to watch how privacy policies and data protection regulations adapt to these changes. The intersection of encryption, AI, and privacy will likely be a key area of focus, with potential implications for how data is handled and secured in various industries.
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