What are explainable neural networks?

I am a CS graduate and have a basic understanding of machine learning algorithms. Lately I came across a concept that captured my attention: explainable neural networks. I get that neural networks are kind of a black-box but how would that be explainable? I mean, in terms of weights and biases, what explainable means?

Thank you!

algorithms attention basic biases box concept deeplearning graduate kind machine machine learning machine learning algorithms mean networks neural networks terms understanding weights and biases