By reading the following paper I have learnt about XAI - eXplainable AI . Great idea, but very challenging.
Why asking an AI to explain itself can make things worse
That reading reminded me my personal interaction with AI. I have shared my experience with building and applying Neural Network (NN) to recognize a different type of computer's workload, such as OLTP and others in my last year CMG Impact conference:
Catching Anomaly and Normality in Cloud by Neural Net and Entropy Calculation
I shared there the interesting observation that my NN model was not agreed with some of my labels in the training set:
What about you? Are you with me or with AI?
Why asking an AI to explain itself can make things worse
That reading reminded me my personal interaction with AI. I have shared my experience with building and applying Neural Network (NN) to recognize a different type of computer's workload, such as OLTP and others in my last year CMG Impact conference:
Catching Anomaly and Normality in Cloud by Neural Net and Entropy Calculation
I shared there the interesting observation that my NN model was not agreed with some of my labels in the training set:
What about you? Are you with me or with AI?
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