(2017-11-17) Why Decentralized Artificial Intelligence Will Reinvent The Industry As We Know It

Why Decentralized Artificial Intelligence Will Reinvent The Industry As We Know It. Now, we are moving toward the next frontier — decentralized AI that can run and train on local devices or make decisions in decentralized networks like blockchain.

AI DAOs emerge when we entrust some or all decision-making responsibilities to AI agents on the blockchain

If you are a holder of ownership rights in some DAOs, you can cede your decision making (e.g., yes/no votes) to an AI agent (another smart contract) that will make all decisions for you. Or, in a more radical scenario, we can put AI at the center of the DAO, making it a de facto manager responsible for all organizational and business decisions

Terra0, a project involving an augmented self-owned forest proposed by Paul Seidler and Paul Kolling from the University of Arts, Berlin. In the project, forest land ownership is structured as an AI DAO with smart contracts on the Ethereum blockchain.  Then, using drones and satellites, the AI DAO can evaluate the wood stock and decide how much and when to sell in the market. Once the project is up and running, the AI DAO can pay out debts to its initial owners and eventually turn a forest into the autonomous, self-owned entity that controls its own resources

Decentralized AI gained powerful momentum in April 2017 after Google announced its new Federated Learning concept. This innovation signals a transition to fully decentralized learning and device-centric AI where machine learning models are trained directly on smartphones of users.

The move toward device-centric AI can also be seen in the release of Google’s TensorFlow Lite, a mobile version of a machine learning library fined-tuned to the computational and power constraints of smartphones.

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