Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

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 ...

Goodfire Inc., a startup working to uncover how artificial intelligence models make decisions, has raised $150 million in ...

Goodfire, a company focused on AI interpretability research, has raised $50m in a Series A funding round to enhance AI interpretability research and develop its Ember platform. Led by Menlo Ventures, ...

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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 ...