Decentralizing AI And Restoring Data Control Through Open Source | Hilary Carter

A recent report on decentralization and AI research highlights the growing concentration of AI and web technologies in the hands of a few powerful corporations, raising concerns about user data control and online privacy. Titled Decentralization and AI: The Building Blocks of a Resilient and Open Digital Future, the report was commissioned by Futurewei and conducted by the Linux Foundation Research (LF Research). It emphasizes the role of decentralization and open source in building a more democratic and competitive digital ecosystem. It examines the impact of AI-driven algorithms, the risks associated with centralized data ownership, and how decentralized technologies can empower users by restoring control over their data.

Hilary Carter, SVP of Research at the Linux Foundation, explains that the report builds on previous studies on open source and fragmentation. Nearly two dozen industry experts contributed insights, including Lalana Kagal from MIT. This report was the “brainchild” of one of the supporting members of LF Research, Futurewei. The report examines the significance of AI in open source development, the challenges of increasingly powerful AI applications, and the emergence of AI agents in digital ecosystems. It also highlights a broader push to rethink how digital infrastructure is governed in the face of AI acceleration.

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