Explainability
Published in Apress eBooks • Jan 1, 2023
NobleIDNI2P78W17R46S30
Authors:
Toju Duke
Abstract
While the previous chapter covered Human-in-the-Loop and its importance in building responsible AI algorithms, it’s paramount to ensure the transparency and explainability of ML models following HITL processes. This chapter reviews “explainability,” also known as XAI and its implementation.
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