Locality Guided Neural Networks for Explainable AI | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=y18HsqVEC9s


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Duration: 41:05
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For slides and more information on the paper, visit https://ai.science/e/locality-guided-neural-networks-for-explainable-ai--BhDdmBKMH5Xkp7pQzWCA

Speaker: Randy Tan; Host: Muhammad Rehman Zafar

Motivation:
Heavily motivated by Self-Organizing Map (SOM), the goal is to enforce a local topology on each layer of a deep network such that neighbouring neurons are highly correlated with each other. The proposed method contributes to the domain of Explainable Artificial Intelligence (XAI), which aims to alleviate the black-box nature of current AI methods and make them understandable by humans. The aims of this work is to achieve XAI in deep learning without changing the structure of current models nor requiring any post processing.



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