Explainability in AI and Machine Learning Systems: An Overview
Heartbeat
SEPTEMBER 13, 2023
Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). However, they are often considered " black boxes " because it can be challenging to comprehend how their internal workings generate specific predictions.
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