BIOENGINEER

Decade of Data: How Explainable AI Is Cracking Open the Black Box of Crash Severity Prediction

A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME are making machine learning crash severity predictions transparent for road safety ...

Siddhant Raman Describes Plans for Proposed U.S. Enterprise AI and Multi-Cloud Venture

Software engineer identifies explainable AI, cloud-cost optimization and enterprise infrastructure as potential areas of development. REDWOOD SHORES, Calif. — October 16, 2026 — Siddhant Raman, a ...
BIOENGINEER

Palmprint authentication goes explainable with learned filters and prototype clustering

Palmprint recognition has quietly become one of the most reliable biometric technologies in the world, but a team of Algerian ...
cordis.europa.eu

Explainable and Robust AI (AI Data and Robotics Partnership) (RIA)

Trustworthy AI solutions, need to be robust, safe and reliable when operating in real-world conditions, and need to be able to provide adequate, meaningful and complete explanations when relevant, or ...
Drexel University

Professor Rosina Weber and Co-Authors’ Call to Action: Address Explainable AI’s Core Problems

Researchers studying how AI explains its decisions often find many issues and disagreements. Some even say that most research does not add much value.