Algorithms

The US government must ensure a robust federal capacity to oversee products like Muse before more harm is done to users' privacy rights.

The argument that pacing U.S. AI development will allow China to "win the AI race" misreads Beijing's capabilities.

The introduction of Muse, Meta's new 24/7 AI assistant, carries significant implications for users' autonomy and data privacy.

Ensuring algorithms recognize protected emblems is an achievable first step to protect civilians and prevent future AI-enabled tragedies.

To challenge authoritarianism, platforms should embrace a role that balances expressive rights and responsibilities in a pro-democratic way.

For middleware to flourish, policymakers must align market incentives, address regulatory barriers, and encourage platform cooperation.

Brianna Rosen, Lennart Heim, Keegan McBride, & Lauren Wagner discuss what DeepSeek means for national security and U.S. policy going forward.

Beyond the hype, a crucial look at the real costs of China's DeepSeek, why compute still matters, and what US policymakers should do about it.

With few safeguards to govern AI deployment, high-risk experimentation at the border will likely continue during Trump's second term.

Judith Cabrera and Petra Molnar discuss how border technologies are impacting migration and what to expect from the incoming Trump administration.

Highlights from the second global summit on Responsible AI in the Military Domain (REAIM) in Seoul, South Korea.

The use of AI to advance U.S. national security will complicate the application of constitutional checks and balances.