Data Innovation

The EU’s digital rulebook, often praised as global leadership, instead forces many non-EU countries into costly regulatory alignment that stifles local innovation and entrenches global digital inequality, underscoring the need for more flexible, locally tailored frameworks.

In an op-ed for The Dispatch, Daniel Castro argues that banning superintelligent AI is misguided because it’s based on speculation, would undermine U.S. innovation and security, and should be replaced with strong oversight—not restrictions on advancing knowledge.

In China Daily, Daniel Castro argues that the U.S. and China face AI risks—like models enabling biological threats or cyberattacks—that are too great for either to manage alone, and can be mitigated through coordinated safety measures such as joint research, incident reporting, and red-team testing.

Fifty conflicting state AI laws create a fragmented, innovation-crushing patchwork, which federal preemption can solve by establishing a single, coherent national framework for AI regulation.

Watch now for a panel discussion on how data and technology can create safer, healthier, and more productive workplaces, and the policies needed to encourage adoption while protecting workers.

Hodan Omaar spoke about opportunities for US-Japan collaboration on AI governance and quantum technology at an event hosted by the National Bureau of Asian Research.

The proposed AI-Related Job Impacts Clarity Act would create misleading, unhelpful data and unfairly stigmatize AI adoption, diverting attention from more effective ways to measure technology’s real impacts and support workers.

Senator Blackburn’s call to shut down Google’s AI over a false claim is misguided, as the error came from a small, open developer model not designed for factual accuracy, and the incident does not demonstrate political bias or systemic failure.

The EU’s move to bar major U.S. tech companies from participating in its new financial data-sharing framework (FiDA) is a protectionist proposal that would limit consumer choice, suppress innovation, and undermine FiDA’s potential benefits.

A productive approach to emerging workplace technologies would focus on two overarching goals: 1) accelerating development, testing, and adoption, and 2) supporting positive uses of the technology while mitigating negative ones.