Unfolding the Role of Black Box and Explainable AI in Data Science

November 30, 2024 ⚊ 1 Min read ⚊ Views 19 ⚊ TECH

Explainable AI is a set of processes and methodologies that allows users to understand and trust the results and output created by machine learning algorithms. It is used to characterize model accuracy, fairness, and transparency, and builds trust with an organization. Continuous model evaluation is key to offering the best results with Explainable AI.

Read details: https://www.usdsi.org/data-science-insights/unfolding-the-role-of-black-box-and-explainable-ai-in-data-science

Tags: Black Box AI

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