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 ...
ZDNet

Explainable AI: A guide for making black box machine learning models explainable

Machine learning is taking the world by storm, helping automate more and more tasks. As digital transformation expands, the volume and coverage of available data grows, and machine learning sets its ...
Max Planck Society

Demystifying AI Interpretability

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...
Fox2Now St. Louis

Pattern Unveils Adaptive Example Selection™ (AES™) Framework to Revolutionize Medical AI Interpretability

REDMOND, Wash., March 12, 2025 (GLOBE NEWSWIRE) -- Pattern Computer®, Inc. (“Pattern” or “the Company”), a leader in cutting-edge explainable AI (XAI) research, has introduced a transformative new ...