The Death of Centralized AI and the Rise of Open AI - KDnuggets

Open AI is a vague, even nebulous term that was coined by Google in a 2016 research paper. The initial idea revolved around the technical architecture of how AI could be built -- through federated learning and decentralized AI instead of centralized systems. But since then, it has come to mean so much more, and is now more reminiscent of a movement than a technology, with companies like Elon Musk's OpenAI, FAIR, and OpenMined seeking to create a form of more democratic artificial intelligence. Since 2016, Google unveiled TensorFlow Federated (TFF), enabling a user-friendly implementation of federated learning. Essentially, federated learning means bringing machine learning models down to the level of user data, instead of having users upload data to a centralized server for training, and then re-deploying an iteratively improved model back to the user.