Explainable AI is making black box models worthless in the agentic era

Transparency and explainability are only way organizations can trust autonomous AI.
Healthcare IT News

As the rush toward AI in healthcare continues, explainability is crucial

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...
JD Supra

LLMs to Agentic AI — Tackling Trust and Explainability

What does it mean to trust AI? According to AI expert Ron Brachman, “it’s when technology demonstrates consistent behavior over time.” Trust is a cornerstone of any successful AI deployment. Without ...

Beyond the Black Box A Framework for Explainable AI (XAI) in Credit Scoring

The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...
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 ...

Moving On From Pilots: The Critical Steps To Scaling Enterprise AI

It wouldn’t be wrong to say AI played Santa in the 2025 holiday shopping season. Retail sites recorded a nearly 700% increase in traffic through generative AI tools (GenAI), which accounted for a ...
Diginomica

The problem of AI explainability - can we overcome it?

Explainability is not just a roadblock to AI adoption - it also has implications for public health and safety. This is how the tensions between transparency, accuracy and performance are coming to a ...
Homeland Security Today

PERSPECTIVE: Explainability Matters to Counter Threat of Public Distrust in Government

A U.S. Customs and Border Protection Office of Field Operations officer assists a passenger with biometric boarding at Houston International Airport on February 12, 2018. (Donna Burton/CBP) Similarly, ...