artificial intelligence regulation

Why Regulation Will Always Be Late

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Technological revolutions, including artificial intelligence, follow a predictable sequence of innovation, harm, and delayed regulation. Regulation struggles to keep pace due to structural mismatches, focusing on outdated versions of technology and often legitimizing power structures rather than restraining them. Ultimately, while regulation can manage consequences, it cannot prevent emerging power dynamics or keep up with rapid technological changes.

Who Controls AI Models — Governments, Corporations, or No One?

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The evolution of control in technology has shifted from governments to corporations, especially regarding AI. While many believe that coding determines control, true power lies in resources like data, compute, and talent. This situation creates a governance vacuum, as responsibility diffuses among stakeholders, leaving AI systems influenced but not controlled by any single entity, raising concerns about accountability and civilizational impact.