A Survey on the Explainability of Supervised Machine Learning

A Survey on the Explainability of Supervised Machine Learning

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=kqCPUjbzOhY


Duration: 59:24
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For slides and more information on the paper, visit https://ai.science/e/a-survey-on-the-explainability-of-supervised-machine-learning--fgURoqBda3vcfmJ909cC

Speaker: Nadia Burkart, Marco Huber; Host: Ali El-Sharif, Muhammad Rehman Zafar

Motivation:
This is a GREAT and up to date survey on XAI. The survey not only tackles the various ways of how explainability can be provided for black-box machine learning algorithms. It also comes with a running example, domains where explainable AI is demanded, the importance of data for XAI, and a thorough discussion of open challenges.



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