Explainable

Explainable Anomaly Detection with RuleFit: An Intuitive Guide

your anomaly detection results to your stakeholders, the immediate next query is all the time “?”. In practice, simply flagging an anomaly isn't enough. Understanding  is crucial to determining one of the best next motion....

How Explainable AI Builds Trust and Accountability

Businesses have already plunged headfirst into AI adoption, racing to deploy chatbots, content generators, and decision-support tools across their operations. In keeping with McKinsey, 78% of firms use AI in at the very least...

Making News Recommendations Explainable with Large Language Models

A prompt-based experiment to enhance each accuracy and transparent reasoning in content personalization.As a second evaluation metric, we use Spearman correlation. At 0.41, it represents a considerable improvement over our embedding-based approach (0.17). This...

Explainable AI Using Expressive Boolean Formulas

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life.But its growth doesn't come without irony. While AI exists to simplify and/or speed up decision-making...

Understanding the complexity of battery health with explainable AI

Just as all of us care about our health and quality of life over time, battery scientists have the identical passion for maximizing the longevity of batteries and closely tracking their health. The health...

Making Music-Tagging AI Explainable through Source Separation

Let’s open the black boxWhy do We Need This?AI systems for music tagging have been around for quite some time. Ever because the mid-2010s, music streaming services have been competing for essentially the most...

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