Building and scaling AI with trust and transparency is crucial for any organization. For explainable AI (XAI) to be effective, it must enable transparency, explain the predictions and algorithm and ...

A visual representation of XAI. A clear white box model containing a digitized brain, with the letters X, A & I etched on the top of the box. According to the 2022 IBM Institute for Business Value ...

The application of explainable artificial intelligence to Internet of Behavior techniques may help provide a more trusted and understandable framework in changing human behaviors, researchers say.

For many people, artificial intelligence (AI) is an unexplainable and uninterpretable black box that takes millions, or even billions of inputs and delivers an answer that we are supposed to trust and ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

Debate and discussion around data management, analytics, BI and information governance. No, it’s not a typo – Explainable BI. Not to be mixed up with its close relative, Explainable AI. It is rapidly ...

We've all met people so smart and informed that we don't understand what they're talking about. The investment advisor discussing derivatives, the physician elaborating about B cells and T cells, the ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of ...