The article discusses the importance of decentralized AI as a solution to the ethical and transparency issues associated with centralized data collection. Centralized systems, which are currently used to train AI algorithms, result in privacy breaches, concentration of power, and lack of user control over data. Decentralized AI, on the other hand, distributes power and responsibility across multiple entities, using blockchain, federated learning, and edge computing to ensure transparency, protect privacy, and allow individuals to own their data. Despite challenges such as complexity and regulatory uncertainty, the potential benefits of decentralized AI are significant. Collaboration between governments, industries, and innovators is needed to drive adoption and create a future that benefits everyone.



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