Artificial Intelligence

The DMA’s forced interoperability undermines platform differentiation, weakens security and reliability, and ultimately leaves European consumers with degraded versions of global technologies.

Join ITIF on Capitol Hill for a timely discussion on open-source AI, and what policymakers should do to maximize its benefits.

Some Korean commentary misreads AGI as a threat to labor and a rationale for public compute. In reality, AGI is better understood as a productivity shock that expands economic output. Resetting the narrative is essential for Korea to pursue policies that strengthen private-sector capacity, support AI diffusion, and enhance innovation.

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.

Banning AI companions may appear protective, but broad restrictions would cut youth off from beneficial support tools, create privacy risks through age verification, and overregulate general chatbots instead of improving safety with better parental controls and transparency.

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.