Neel Somani explains why interpretability must evolve faster than model size

When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
MIT Technology Review

Mechanistic interpretability

But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...
JD Supra

Transparency, Explainability, and Interpretability of AI

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 ...
Yahoo Finance

Goodfire secures $50m funding to advance AI interpretability research

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, ...
Forbes

What’s In The Box? Decoding AI Model Interpretability

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...
InfoQ

Understanding and Debugging Deep Learning Models: Exploring AI Interpretability Methods

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Diginomica

AI explainability and interpretability - we have a long way to go

AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...