In boardrooms across Silicon Valley and Wall Street, executives are grappling with an uncomfortable truth: the AI systems powering their most critical decisions are fundamentally unauditable. While ...

Despite years of progress, trust remains one of the biggest barriers to AI adoption in healthcare. Patient privacy is their top concern when it comes to using AI.

Interpretability is the science of how neural networks work internally, and how modifying their inner mechanisms can shape their behavior--e.g., adjusting a reasoning model's internal concepts to ...

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually ...

Of the 800m people using ChatGPT every week, only a vanishingly small number will have seriously considered whether ChatGPT might have experiences worth caring about. AI welfare — the project of ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

So, there’s this big government paper out, Executive Order 14110, all about artificial intelligence. It’s pretty detailed ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

New techniques are giving researchers a glimpse at the inner workings of AI models. Hundreds of millions of people now use chatbots every day. And yet the large language models that drive them are so ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...