The conflict between access to data and data sovereignty is key to understanding how AI works, and moving it forward. The Ocean Protocol Foundation wants to help resolve that conflict, by introducing a way of letting AI work with data without giving up control.

AI and its machine learning algorithms need data to work. By now, that’s a known fact. It’s not that algorithms don’t matter, it’s just that typically, getting more data, better data, helps come up with better results more than tweaking algorithms. The unreasonable effectiveness of data.

More data, and more compute capacity to train algorithms that use the data, is what has been fueling the rise of AI. Anyone who wants to train an algorithm for an AI application to address any problem in any domain must be able to get lots of relevant data in order to be successful.

That data can be public data, private data generated and owned by the organization developing the application, or private data acquired by 3rd parties. Public data is not an issue. Privately owned private data must be collected and processed in accordance with data protection laws such as GDPR and CCPA.

But what about private data owned by 3rd parties? Normally, application developers don’t have access to those, and for good reasons. Why would you trust anyone with your private data? Even if the party you hand it over to promises to take good care of the data, once the data is out of your hands, anyone can do as they please with it.

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