Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
Fast Company

Anthropic takes a look into the ‘black box’ of AI models

Progress in mechanistic interpretability could lead to major advances in making large AI models safe and bias-free. The Anthropic researchers, in other words, wanted to learn about the higher-order ...
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 ...
mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
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 ...
InfoQ

DeepMind Open-Sources AI Interpretability Research Tool Tracr

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Scientific American

Can a Chatbot be Conscious? Inside Anthropic’s Interpretability Research on Claude 4

Ask a chatbot if it’s conscious, and it will likely say no—unless it’s Anthropic’s Claude 4. “I find myself genuinely uncertain about this,” it replied in a recent conversation. “When I process ...
Quanta Magazine

The Computer Scientist Peering Inside AI’s Black Boxes

Machine learning models are incredibly powerful tools. They extract deeply hidden patterns in large data sets that our limited human brains can’t parse. These complex algorithms, then, need to be ...
dbta

Explainability and Interpretability: Building Trustworthy AI Models

Trust is key to gaining acceptance of AI technologies from customers, employees, and other stakeholders. As AI becomes increasingly pervasive, the ability to decode and communicate how AI-based ...